| [2024-07-24 19:00:32,744][02885] Saving configuration to /content/train_dir/default_experiment/config.json... | |
| [2024-07-24 19:00:32,749][02885] Rollout worker 0 uses device cpu | |
| [2024-07-24 19:00:32,750][02885] Rollout worker 1 uses device cpu | |
| [2024-07-24 19:00:32,752][02885] Rollout worker 2 uses device cpu | |
| [2024-07-24 19:00:32,753][02885] Rollout worker 3 uses device cpu | |
| [2024-07-24 19:00:32,755][02885] Rollout worker 4 uses device cpu | |
| [2024-07-24 19:00:32,757][02885] Rollout worker 5 uses device cpu | |
| [2024-07-24 19:00:32,759][02885] Rollout worker 6 uses device cpu | |
| [2024-07-24 19:00:32,761][02885] Rollout worker 7 uses device cpu | |
| [2024-07-24 19:00:32,930][02885] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2024-07-24 19:00:32,932][02885] InferenceWorker_p0-w0: min num requests: 2 | |
| [2024-07-24 19:00:32,971][02885] Starting all processes... | |
| [2024-07-24 19:00:32,973][02885] Starting process learner_proc0 | |
| [2024-07-24 19:00:34,308][02885] Starting all processes... | |
| [2024-07-24 19:00:34,317][02885] Starting process inference_proc0-0 | |
| [2024-07-24 19:00:34,317][02885] Starting process rollout_proc0 | |
| [2024-07-24 19:00:34,319][02885] Starting process rollout_proc1 | |
| [2024-07-24 19:00:34,319][02885] Starting process rollout_proc2 | |
| [2024-07-24 19:00:34,319][02885] Starting process rollout_proc3 | |
| [2024-07-24 19:00:34,319][02885] Starting process rollout_proc4 | |
| [2024-07-24 19:00:34,319][02885] Starting process rollout_proc5 | |
| [2024-07-24 19:00:34,319][02885] Starting process rollout_proc6 | |
| [2024-07-24 19:00:34,319][02885] Starting process rollout_proc7 | |
| [2024-07-24 19:00:49,781][05263] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2024-07-24 19:00:49,781][05263] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0 | |
| [2024-07-24 19:00:49,903][05263] Num visible devices: 1 | |
| [2024-07-24 19:00:49,947][05263] Starting seed is not provided | |
| [2024-07-24 19:00:49,948][05263] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2024-07-24 19:00:49,949][05263] Initializing actor-critic model on device cuda:0 | |
| [2024-07-24 19:00:49,950][05263] RunningMeanStd input shape: (3, 72, 128) | |
| [2024-07-24 19:00:49,953][05263] RunningMeanStd input shape: (1,) | |
| [2024-07-24 19:00:50,018][05279] Worker 1 uses CPU cores [1] | |
| [2024-07-24 19:00:50,039][05281] Worker 3 uses CPU cores [1] | |
| [2024-07-24 19:00:50,036][05263] ConvEncoder: input_channels=3 | |
| [2024-07-24 19:00:50,180][05276] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2024-07-24 19:00:50,181][05276] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0 | |
| [2024-07-24 19:00:50,222][05284] Worker 6 uses CPU cores [0] | |
| [2024-07-24 19:00:50,244][05276] Num visible devices: 1 | |
| [2024-07-24 19:00:50,260][05277] Worker 0 uses CPU cores [0] | |
| [2024-07-24 19:00:50,290][05278] Worker 2 uses CPU cores [0] | |
| [2024-07-24 19:00:50,293][05283] Worker 7 uses CPU cores [1] | |
| [2024-07-24 19:00:50,334][05280] Worker 4 uses CPU cores [0] | |
| [2024-07-24 19:00:50,337][05282] Worker 5 uses CPU cores [1] | |
| [2024-07-24 19:00:50,414][05263] Conv encoder output size: 512 | |
| [2024-07-24 19:00:50,414][05263] Policy head output size: 512 | |
| [2024-07-24 19:00:50,468][05263] Created Actor Critic model with architecture: | |
| [2024-07-24 19:00:50,468][05263] ActorCriticSharedWeights( | |
| (obs_normalizer): ObservationNormalizer( | |
| (running_mean_std): RunningMeanStdDictInPlace( | |
| (running_mean_std): ModuleDict( | |
| (obs): RunningMeanStdInPlace() | |
| ) | |
| ) | |
| ) | |
| (returns_normalizer): RecursiveScriptModule(original_name=RunningMeanStdInPlace) | |
| (encoder): VizdoomEncoder( | |
| (basic_encoder): ConvEncoder( | |
| (enc): RecursiveScriptModule( | |
| original_name=ConvEncoderImpl | |
| (conv_head): RecursiveScriptModule( | |
| original_name=Sequential | |
| (0): RecursiveScriptModule(original_name=Conv2d) | |
| (1): RecursiveScriptModule(original_name=ELU) | |
| (2): RecursiveScriptModule(original_name=Conv2d) | |
| (3): RecursiveScriptModule(original_name=ELU) | |
| (4): RecursiveScriptModule(original_name=Conv2d) | |
| (5): RecursiveScriptModule(original_name=ELU) | |
| ) | |
| (mlp_layers): RecursiveScriptModule( | |
| original_name=Sequential | |
| (0): RecursiveScriptModule(original_name=Linear) | |
| (1): RecursiveScriptModule(original_name=ELU) | |
| ) | |
| ) | |
| ) | |
| ) | |
| (core): ModelCoreRNN( | |
| (core): GRU(512, 512) | |
| ) | |
| (decoder): MlpDecoder( | |
| (mlp): Identity() | |
| ) | |
| (critic_linear): Linear(in_features=512, out_features=1, bias=True) | |
| (action_parameterization): ActionParameterizationDefault( | |
| (distribution_linear): Linear(in_features=512, out_features=5, bias=True) | |
| ) | |
| ) | |
| [2024-07-24 19:00:50,719][05263] Using optimizer <class 'torch.optim.adam.Adam'> | |
| [2024-07-24 19:00:51,485][05263] No checkpoints found | |
| [2024-07-24 19:00:51,485][05263] Did not load from checkpoint, starting from scratch! | |
| [2024-07-24 19:00:51,486][05263] Initialized policy 0 weights for model version 0 | |
| [2024-07-24 19:00:51,489][05263] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2024-07-24 19:00:51,503][05263] LearnerWorker_p0 finished initialization! | |
| [2024-07-24 19:00:51,612][05276] RunningMeanStd input shape: (3, 72, 128) | |
| [2024-07-24 19:00:51,613][05276] RunningMeanStd input shape: (1,) | |
| [2024-07-24 19:00:51,627][05276] ConvEncoder: input_channels=3 | |
| [2024-07-24 19:00:51,731][05276] Conv encoder output size: 512 | |
| [2024-07-24 19:00:51,732][05276] Policy head output size: 512 | |
| [2024-07-24 19:00:51,787][02885] Inference worker 0-0 is ready! | |
| [2024-07-24 19:00:51,791][02885] All inference workers are ready! Signal rollout workers to start! | |
| [2024-07-24 19:00:52,149][05278] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2024-07-24 19:00:52,159][05280] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2024-07-24 19:00:52,182][05282] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2024-07-24 19:00:52,246][05283] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2024-07-24 19:00:52,248][05279] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2024-07-24 19:00:52,260][05284] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2024-07-24 19:00:52,271][05281] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2024-07-24 19:00:52,277][05277] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2024-07-24 19:00:52,921][02885] Heartbeat connected on Batcher_0 | |
| [2024-07-24 19:00:52,929][02885] Heartbeat connected on LearnerWorker_p0 | |
| [2024-07-24 19:00:52,980][02885] Heartbeat connected on InferenceWorker_p0-w0 | |
| [2024-07-24 19:00:53,635][02885] Fps is (10 sec: nan, 60 sec: nan, 300 sec: nan). Total num frames: 0. Throughput: 0: nan. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) | |
| [2024-07-24 19:00:54,705][05280] Decorrelating experience for 0 frames... | |
| [2024-07-24 19:00:54,707][05284] Decorrelating experience for 0 frames... | |
| [2024-07-24 19:00:54,708][05282] Decorrelating experience for 0 frames... | |
| [2024-07-24 19:00:54,713][05278] Decorrelating experience for 0 frames... | |
| [2024-07-24 19:00:54,711][05283] Decorrelating experience for 0 frames... | |
| [2024-07-24 19:00:54,710][05277] Decorrelating experience for 0 frames... | |
| [2024-07-24 19:00:54,712][05279] Decorrelating experience for 0 frames... | |
| [2024-07-24 19:00:55,973][05282] Decorrelating experience for 32 frames... | |
| [2024-07-24 19:00:55,975][05279] Decorrelating experience for 32 frames... | |
| [2024-07-24 19:00:56,254][05280] Decorrelating experience for 32 frames... | |
| [2024-07-24 19:00:56,257][05278] Decorrelating experience for 32 frames... | |
| [2024-07-24 19:00:56,280][05277] Decorrelating experience for 32 frames... | |
| [2024-07-24 19:00:57,699][05284] Decorrelating experience for 32 frames... | |
| [2024-07-24 19:00:57,855][05281] Decorrelating experience for 0 frames... | |
| [2024-07-24 19:00:57,958][05280] Decorrelating experience for 64 frames... | |
| [2024-07-24 19:00:57,998][05283] Decorrelating experience for 32 frames... | |
| [2024-07-24 19:00:58,240][05282] Decorrelating experience for 64 frames... | |
| [2024-07-24 19:00:58,635][02885] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) | |
| [2024-07-24 19:00:58,951][05279] Decorrelating experience for 64 frames... | |
| [2024-07-24 19:00:59,410][05283] Decorrelating experience for 64 frames... | |
| [2024-07-24 19:00:59,427][05282] Decorrelating experience for 96 frames... | |
| [2024-07-24 19:00:59,477][05277] Decorrelating experience for 64 frames... | |
| [2024-07-24 19:00:59,622][05280] Decorrelating experience for 96 frames... | |
| [2024-07-24 19:00:59,621][05278] Decorrelating experience for 64 frames... | |
| [2024-07-24 19:00:59,650][02885] Heartbeat connected on RolloutWorker_w5 | |
| [2024-07-24 19:00:59,997][02885] Heartbeat connected on RolloutWorker_w4 | |
| [2024-07-24 19:01:00,022][05284] Decorrelating experience for 64 frames... | |
| [2024-07-24 19:01:00,580][05277] Decorrelating experience for 96 frames... | |
| [2024-07-24 19:01:00,738][02885] Heartbeat connected on RolloutWorker_w0 | |
| [2024-07-24 19:01:01,108][05281] Decorrelating experience for 32 frames... | |
| [2024-07-24 19:01:01,171][05283] Decorrelating experience for 96 frames... | |
| [2024-07-24 19:01:01,388][05279] Decorrelating experience for 96 frames... | |
| [2024-07-24 19:01:01,789][05278] Decorrelating experience for 96 frames... | |
| [2024-07-24 19:01:01,796][02885] Heartbeat connected on RolloutWorker_w7 | |
| [2024-07-24 19:01:01,952][02885] Heartbeat connected on RolloutWorker_w1 | |
| [2024-07-24 19:01:02,150][02885] Heartbeat connected on RolloutWorker_w2 | |
| [2024-07-24 19:01:03,235][05284] Decorrelating experience for 96 frames... | |
| [2024-07-24 19:01:03,636][02885] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 1.6. Samples: 16. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) | |
| [2024-07-24 19:01:03,640][02885] Avg episode reward: [(0, '1.636')] | |
| [2024-07-24 19:01:03,989][02885] Heartbeat connected on RolloutWorker_w6 | |
| [2024-07-24 19:01:04,476][05281] Decorrelating experience for 64 frames... | |
| [2024-07-24 19:01:05,336][05263] Signal inference workers to stop experience collection... | |
| [2024-07-24 19:01:05,356][05276] InferenceWorker_p0-w0: stopping experience collection | |
| [2024-07-24 19:01:05,653][05281] Decorrelating experience for 96 frames... | |
| [2024-07-24 19:01:05,762][02885] Heartbeat connected on RolloutWorker_w3 | |
| [2024-07-24 19:01:07,675][05263] Signal inference workers to resume experience collection... | |
| [2024-07-24 19:01:07,681][05276] InferenceWorker_p0-w0: resuming experience collection | |
| [2024-07-24 19:01:08,635][02885] Fps is (10 sec: 409.6, 60 sec: 273.1, 300 sec: 273.1). Total num frames: 4096. Throughput: 0: 165.1. Samples: 2476. Policy #0 lag: (min: 0.0, avg: 0.0, max: 0.0) | |
| [2024-07-24 19:01:08,645][02885] Avg episode reward: [(0, '3.006')] | |
| [2024-07-24 19:01:13,639][02885] Fps is (10 sec: 1637.9, 60 sec: 819.0, 300 sec: 819.0). Total num frames: 16384. Throughput: 0: 252.1. Samples: 5044. Policy #0 lag: (min: 0.0, avg: 1.2, max: 2.0) | |
| [2024-07-24 19:01:13,641][02885] Avg episode reward: [(0, '3.488')] | |
| [2024-07-24 19:01:18,635][02885] Fps is (10 sec: 3276.8, 60 sec: 1474.6, 300 sec: 1474.6). Total num frames: 36864. Throughput: 0: 283.0. Samples: 7074. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:01:18,637][02885] Avg episode reward: [(0, '3.901')] | |
| [2024-07-24 19:01:19,394][05276] Updated weights for policy 0, policy_version 10 (0.0029) | |
| [2024-07-24 19:01:23,635][02885] Fps is (10 sec: 3687.9, 60 sec: 1774.9, 300 sec: 1774.9). Total num frames: 53248. Throughput: 0: 439.5. Samples: 13186. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:01:23,638][02885] Avg episode reward: [(0, '4.391')] | |
| [2024-07-24 19:01:28,636][02885] Fps is (10 sec: 3276.6, 60 sec: 1989.5, 300 sec: 1989.5). Total num frames: 69632. Throughput: 0: 511.0. Samples: 17886. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:01:28,640][02885] Avg episode reward: [(0, '4.462')] | |
| [2024-07-24 19:01:32,918][05276] Updated weights for policy 0, policy_version 20 (0.0029) | |
| [2024-07-24 19:01:33,635][02885] Fps is (10 sec: 2867.2, 60 sec: 2048.0, 300 sec: 2048.0). Total num frames: 81920. Throughput: 0: 494.0. Samples: 19762. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:01:33,642][02885] Avg episode reward: [(0, '4.469')] | |
| [2024-07-24 19:01:38,635][02885] Fps is (10 sec: 3686.6, 60 sec: 2366.6, 300 sec: 2366.6). Total num frames: 106496. Throughput: 0: 562.3. Samples: 25304. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:01:38,643][02885] Avg episode reward: [(0, '4.501')] | |
| [2024-07-24 19:01:38,656][05263] Saving new best policy, reward=4.501! | |
| [2024-07-24 19:01:42,389][05276] Updated weights for policy 0, policy_version 30 (0.0037) | |
| [2024-07-24 19:01:43,635][02885] Fps is (10 sec: 4505.6, 60 sec: 2539.5, 300 sec: 2539.5). Total num frames: 126976. Throughput: 0: 706.5. Samples: 31794. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:01:43,644][02885] Avg episode reward: [(0, '4.591')] | |
| [2024-07-24 19:01:43,647][05263] Saving new best policy, reward=4.591! | |
| [2024-07-24 19:01:48,638][02885] Fps is (10 sec: 3275.9, 60 sec: 2531.9, 300 sec: 2531.9). Total num frames: 139264. Throughput: 0: 750.8. Samples: 33804. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:01:48,645][02885] Avg episode reward: [(0, '4.535')] | |
| [2024-07-24 19:01:53,635][02885] Fps is (10 sec: 3276.8, 60 sec: 2662.4, 300 sec: 2662.4). Total num frames: 159744. Throughput: 0: 803.1. Samples: 38614. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:01:53,637][02885] Avg episode reward: [(0, '4.483')] | |
| [2024-07-24 19:01:54,522][05276] Updated weights for policy 0, policy_version 40 (0.0028) | |
| [2024-07-24 19:01:58,635][02885] Fps is (10 sec: 4097.2, 60 sec: 3003.7, 300 sec: 2772.7). Total num frames: 180224. Throughput: 0: 894.7. Samples: 45300. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:01:58,637][02885] Avg episode reward: [(0, '4.361')] | |
| [2024-07-24 19:02:03,637][02885] Fps is (10 sec: 3685.6, 60 sec: 3276.7, 300 sec: 2808.6). Total num frames: 196608. Throughput: 0: 914.4. Samples: 48222. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2024-07-24 19:02:03,639][02885] Avg episode reward: [(0, '4.306')] | |
| [2024-07-24 19:02:06,142][05276] Updated weights for policy 0, policy_version 50 (0.0025) | |
| [2024-07-24 19:02:08,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3481.6, 300 sec: 2839.9). Total num frames: 212992. Throughput: 0: 870.0. Samples: 52336. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:02:08,637][02885] Avg episode reward: [(0, '4.285')] | |
| [2024-07-24 19:02:13,635][02885] Fps is (10 sec: 3687.1, 60 sec: 3618.4, 300 sec: 2918.4). Total num frames: 233472. Throughput: 0: 908.1. Samples: 58750. Policy #0 lag: (min: 0.0, avg: 0.3, max: 2.0) | |
| [2024-07-24 19:02:13,638][02885] Avg episode reward: [(0, '4.294')] | |
| [2024-07-24 19:02:15,774][05276] Updated weights for policy 0, policy_version 60 (0.0032) | |
| [2024-07-24 19:02:18,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3618.1, 300 sec: 2987.7). Total num frames: 253952. Throughput: 0: 941.2. Samples: 62118. Policy #0 lag: (min: 0.0, avg: 0.3, max: 2.0) | |
| [2024-07-24 19:02:18,638][02885] Avg episode reward: [(0, '4.365')] | |
| [2024-07-24 19:02:23,637][02885] Fps is (10 sec: 3276.2, 60 sec: 3549.8, 300 sec: 2958.2). Total num frames: 266240. Throughput: 0: 920.9. Samples: 66746. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:02:23,639][02885] Avg episode reward: [(0, '4.450')] | |
| [2024-07-24 19:02:27,693][05276] Updated weights for policy 0, policy_version 70 (0.0023) | |
| [2024-07-24 19:02:28,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3061.2). Total num frames: 290816. Throughput: 0: 902.0. Samples: 72386. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:02:28,637][02885] Avg episode reward: [(0, '4.459')] | |
| [2024-07-24 19:02:28,648][05263] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000071_290816.pth... | |
| [2024-07-24 19:02:33,635][02885] Fps is (10 sec: 4506.3, 60 sec: 3822.9, 300 sec: 3112.9). Total num frames: 311296. Throughput: 0: 930.2. Samples: 75662. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:02:33,641][02885] Avg episode reward: [(0, '4.285')] | |
| [2024-07-24 19:02:38,635][02885] Fps is (10 sec: 3276.7, 60 sec: 3618.1, 300 sec: 3081.7). Total num frames: 323584. Throughput: 0: 944.6. Samples: 81120. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:02:38,638][02885] Avg episode reward: [(0, '4.347')] | |
| [2024-07-24 19:02:38,770][05276] Updated weights for policy 0, policy_version 80 (0.0019) | |
| [2024-07-24 19:02:43,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3549.9, 300 sec: 3090.6). Total num frames: 339968. Throughput: 0: 898.9. Samples: 85752. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:02:43,641][02885] Avg episode reward: [(0, '4.348')] | |
| [2024-07-24 19:02:48,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3754.8, 300 sec: 3169.9). Total num frames: 364544. Throughput: 0: 907.3. Samples: 89050. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:02:48,644][02885] Avg episode reward: [(0, '4.545')] | |
| [2024-07-24 19:02:49,213][05276] Updated weights for policy 0, policy_version 90 (0.0037) | |
| [2024-07-24 19:02:53,635][02885] Fps is (10 sec: 4096.1, 60 sec: 3686.4, 300 sec: 3174.4). Total num frames: 380928. Throughput: 0: 959.4. Samples: 95508. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:02:53,644][02885] Avg episode reward: [(0, '4.607')] | |
| [2024-07-24 19:02:53,647][05263] Saving new best policy, reward=4.607! | |
| [2024-07-24 19:02:58,635][02885] Fps is (10 sec: 3276.9, 60 sec: 3618.1, 300 sec: 3178.5). Total num frames: 397312. Throughput: 0: 905.5. Samples: 99496. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:02:58,637][02885] Avg episode reward: [(0, '4.548')] | |
| [2024-07-24 19:03:01,162][05276] Updated weights for policy 0, policy_version 100 (0.0037) | |
| [2024-07-24 19:03:03,635][02885] Fps is (10 sec: 3686.3, 60 sec: 3686.5, 300 sec: 3213.8). Total num frames: 417792. Throughput: 0: 898.3. Samples: 102542. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:03:03,644][02885] Avg episode reward: [(0, '4.482')] | |
| [2024-07-24 19:03:08,637][02885] Fps is (10 sec: 4095.2, 60 sec: 3754.5, 300 sec: 3246.4). Total num frames: 438272. Throughput: 0: 941.9. Samples: 109130. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:03:08,640][02885] Avg episode reward: [(0, '4.401')] | |
| [2024-07-24 19:03:11,596][05276] Updated weights for policy 0, policy_version 110 (0.0034) | |
| [2024-07-24 19:03:13,635][02885] Fps is (10 sec: 3686.5, 60 sec: 3686.4, 300 sec: 3247.5). Total num frames: 454656. Throughput: 0: 920.8. Samples: 113822. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2024-07-24 19:03:13,639][02885] Avg episode reward: [(0, '4.449')] | |
| [2024-07-24 19:03:18,635][02885] Fps is (10 sec: 3277.4, 60 sec: 3618.1, 300 sec: 3248.6). Total num frames: 471040. Throughput: 0: 895.3. Samples: 115950. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:03:18,638][02885] Avg episode reward: [(0, '4.500')] | |
| [2024-07-24 19:03:22,440][05276] Updated weights for policy 0, policy_version 120 (0.0027) | |
| [2024-07-24 19:03:23,635][02885] Fps is (10 sec: 4095.9, 60 sec: 3823.0, 300 sec: 3304.1). Total num frames: 495616. Throughput: 0: 920.9. Samples: 122562. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2024-07-24 19:03:23,637][02885] Avg episode reward: [(0, '4.457')] | |
| [2024-07-24 19:03:28,635][02885] Fps is (10 sec: 4095.9, 60 sec: 3686.4, 300 sec: 3303.2). Total num frames: 512000. Throughput: 0: 944.0. Samples: 128234. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:03:28,641][02885] Avg episode reward: [(0, '4.466')] | |
| [2024-07-24 19:03:33,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3302.4). Total num frames: 528384. Throughput: 0: 915.4. Samples: 130242. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:03:33,642][02885] Avg episode reward: [(0, '4.670')] | |
| [2024-07-24 19:03:33,645][05263] Saving new best policy, reward=4.670! | |
| [2024-07-24 19:03:34,522][05276] Updated weights for policy 0, policy_version 130 (0.0020) | |
| [2024-07-24 19:03:38,635][02885] Fps is (10 sec: 3686.5, 60 sec: 3754.7, 300 sec: 3326.4). Total num frames: 548864. Throughput: 0: 900.8. Samples: 136046. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:03:38,637][02885] Avg episode reward: [(0, '4.678')] | |
| [2024-07-24 19:03:38,654][05263] Saving new best policy, reward=4.678! | |
| [2024-07-24 19:03:43,640][02885] Fps is (10 sec: 4094.1, 60 sec: 3822.6, 300 sec: 3349.0). Total num frames: 569344. Throughput: 0: 959.8. Samples: 142692. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:03:43,642][02885] Avg episode reward: [(0, '4.675')] | |
| [2024-07-24 19:03:44,654][05276] Updated weights for policy 0, policy_version 140 (0.0021) | |
| [2024-07-24 19:03:48,641][02885] Fps is (10 sec: 3274.8, 60 sec: 3617.8, 300 sec: 3323.5). Total num frames: 581632. Throughput: 0: 937.2. Samples: 144720. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:03:48,647][02885] Avg episode reward: [(0, '4.669')] | |
| [2024-07-24 19:03:53,635][02885] Fps is (10 sec: 3278.4, 60 sec: 3686.4, 300 sec: 3345.1). Total num frames: 602112. Throughput: 0: 896.0. Samples: 149450. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:03:53,638][02885] Avg episode reward: [(0, '4.539')] | |
| [2024-07-24 19:03:55,950][05276] Updated weights for policy 0, policy_version 150 (0.0014) | |
| [2024-07-24 19:03:58,635][02885] Fps is (10 sec: 4098.5, 60 sec: 3754.7, 300 sec: 3365.4). Total num frames: 622592. Throughput: 0: 940.0. Samples: 156122. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:03:58,638][02885] Avg episode reward: [(0, '4.640')] | |
| [2024-07-24 19:04:03,635][02885] Fps is (10 sec: 3686.3, 60 sec: 3686.4, 300 sec: 3363.0). Total num frames: 638976. Throughput: 0: 960.0. Samples: 159152. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:04:03,638][02885] Avg episode reward: [(0, '4.783')] | |
| [2024-07-24 19:04:03,643][05263] Saving new best policy, reward=4.783! | |
| [2024-07-24 19:04:08,067][05276] Updated weights for policy 0, policy_version 160 (0.0031) | |
| [2024-07-24 19:04:08,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.2, 300 sec: 3360.8). Total num frames: 655360. Throughput: 0: 903.6. Samples: 163222. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:04:08,638][02885] Avg episode reward: [(0, '4.751')] | |
| [2024-07-24 19:04:13,635][02885] Fps is (10 sec: 3686.5, 60 sec: 3686.4, 300 sec: 3379.2). Total num frames: 675840. Throughput: 0: 920.2. Samples: 169644. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:04:13,638][02885] Avg episode reward: [(0, '4.863')] | |
| [2024-07-24 19:04:13,703][05263] Saving new best policy, reward=4.863! | |
| [2024-07-24 19:04:17,474][05276] Updated weights for policy 0, policy_version 170 (0.0030) | |
| [2024-07-24 19:04:18,635][02885] Fps is (10 sec: 4096.1, 60 sec: 3754.7, 300 sec: 3396.7). Total num frames: 696320. Throughput: 0: 943.7. Samples: 172708. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:04:18,638][02885] Avg episode reward: [(0, '5.076')] | |
| [2024-07-24 19:04:18,645][05263] Saving new best policy, reward=5.076! | |
| [2024-07-24 19:04:23,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3393.8). Total num frames: 712704. Throughput: 0: 920.9. Samples: 177488. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:04:23,640][02885] Avg episode reward: [(0, '4.977')] | |
| [2024-07-24 19:04:28,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3391.1). Total num frames: 729088. Throughput: 0: 894.2. Samples: 182928. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:04:28,641][02885] Avg episode reward: [(0, '5.188')] | |
| [2024-07-24 19:04:28,672][05263] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000179_733184.pth... | |
| [2024-07-24 19:04:28,801][05263] Saving new best policy, reward=5.188! | |
| [2024-07-24 19:04:29,787][05276] Updated weights for policy 0, policy_version 180 (0.0030) | |
| [2024-07-24 19:04:33,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3425.7). Total num frames: 753664. Throughput: 0: 919.6. Samples: 186098. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:04:33,642][02885] Avg episode reward: [(0, '5.170')] | |
| [2024-07-24 19:04:38,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3422.4). Total num frames: 770048. Throughput: 0: 941.6. Samples: 191820. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:04:38,643][02885] Avg episode reward: [(0, '5.347')] | |
| [2024-07-24 19:04:38,655][05263] Saving new best policy, reward=5.347! | |
| [2024-07-24 19:04:41,588][05276] Updated weights for policy 0, policy_version 190 (0.0025) | |
| [2024-07-24 19:04:43,639][02885] Fps is (10 sec: 3275.5, 60 sec: 3618.2, 300 sec: 3419.2). Total num frames: 786432. Throughput: 0: 893.5. Samples: 196334. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:04:43,641][02885] Avg episode reward: [(0, '5.545')] | |
| [2024-07-24 19:04:43,645][05263] Saving new best policy, reward=5.545! | |
| [2024-07-24 19:04:48,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3755.0, 300 sec: 3433.7). Total num frames: 806912. Throughput: 0: 895.7. Samples: 199458. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:04:48,643][02885] Avg episode reward: [(0, '5.754')] | |
| [2024-07-24 19:04:48,652][05263] Saving new best policy, reward=5.754! | |
| [2024-07-24 19:04:51,251][05276] Updated weights for policy 0, policy_version 200 (0.0038) | |
| [2024-07-24 19:04:53,635][02885] Fps is (10 sec: 3687.8, 60 sec: 3686.4, 300 sec: 3430.4). Total num frames: 823296. Throughput: 0: 951.6. Samples: 206042. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:04:53,637][02885] Avg episode reward: [(0, '6.051')] | |
| [2024-07-24 19:04:53,700][05263] Saving new best policy, reward=6.051! | |
| [2024-07-24 19:04:58,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3427.3). Total num frames: 839680. Throughput: 0: 899.7. Samples: 210132. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:04:58,638][02885] Avg episode reward: [(0, '5.924')] | |
| [2024-07-24 19:05:03,305][05276] Updated weights for policy 0, policy_version 210 (0.0030) | |
| [2024-07-24 19:05:03,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3440.6). Total num frames: 860160. Throughput: 0: 890.4. Samples: 212774. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:05:03,639][02885] Avg episode reward: [(0, '5.694')] | |
| [2024-07-24 19:05:08,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3453.5). Total num frames: 880640. Throughput: 0: 934.2. Samples: 219526. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:05:08,638][02885] Avg episode reward: [(0, '6.067')] | |
| [2024-07-24 19:05:08,645][05263] Saving new best policy, reward=6.067! | |
| [2024-07-24 19:05:13,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3450.1). Total num frames: 897024. Throughput: 0: 924.2. Samples: 224518. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:05:13,637][02885] Avg episode reward: [(0, '6.120')] | |
| [2024-07-24 19:05:13,645][05263] Saving new best policy, reward=6.120! | |
| [2024-07-24 19:05:14,901][05276] Updated weights for policy 0, policy_version 220 (0.0040) | |
| [2024-07-24 19:05:18,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3446.8). Total num frames: 913408. Throughput: 0: 897.5. Samples: 226484. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:05:18,644][02885] Avg episode reward: [(0, '6.464')] | |
| [2024-07-24 19:05:18,656][05263] Saving new best policy, reward=6.464! | |
| [2024-07-24 19:05:23,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3458.8). Total num frames: 933888. Throughput: 0: 909.2. Samples: 232736. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:05:23,642][02885] Avg episode reward: [(0, '6.678')] | |
| [2024-07-24 19:05:23,645][05263] Saving new best policy, reward=6.678! | |
| [2024-07-24 19:05:24,894][05276] Updated weights for policy 0, policy_version 230 (0.0029) | |
| [2024-07-24 19:05:28,635][02885] Fps is (10 sec: 4095.9, 60 sec: 3754.7, 300 sec: 3470.4). Total num frames: 954368. Throughput: 0: 943.6. Samples: 238792. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:05:28,647][02885] Avg episode reward: [(0, '6.206')] | |
| [2024-07-24 19:05:33,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3452.3). Total num frames: 966656. Throughput: 0: 918.3. Samples: 240782. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:05:33,644][02885] Avg episode reward: [(0, '6.393')] | |
| [2024-07-24 19:05:36,933][05276] Updated weights for policy 0, policy_version 240 (0.0027) | |
| [2024-07-24 19:05:38,635][02885] Fps is (10 sec: 3276.9, 60 sec: 3618.1, 300 sec: 3463.6). Total num frames: 987136. Throughput: 0: 895.6. Samples: 246342. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:05:38,642][02885] Avg episode reward: [(0, '6.489')] | |
| [2024-07-24 19:05:43,635][02885] Fps is (10 sec: 4505.5, 60 sec: 3754.9, 300 sec: 3488.7). Total num frames: 1011712. Throughput: 0: 951.5. Samples: 252950. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:05:43,642][02885] Avg episode reward: [(0, '6.765')] | |
| [2024-07-24 19:05:43,649][05263] Saving new best policy, reward=6.765! | |
| [2024-07-24 19:05:47,982][05276] Updated weights for policy 0, policy_version 250 (0.0026) | |
| [2024-07-24 19:05:48,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3471.2). Total num frames: 1024000. Throughput: 0: 943.7. Samples: 255242. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:05:48,641][02885] Avg episode reward: [(0, '6.583')] | |
| [2024-07-24 19:05:53,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3618.1, 300 sec: 3526.7). Total num frames: 1040384. Throughput: 0: 891.1. Samples: 259626. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:05:53,638][02885] Avg episode reward: [(0, '6.849')] | |
| [2024-07-24 19:05:53,642][05263] Saving new best policy, reward=6.849! | |
| [2024-07-24 19:05:58,339][05276] Updated weights for policy 0, policy_version 260 (0.0030) | |
| [2024-07-24 19:05:58,635][02885] Fps is (10 sec: 4095.9, 60 sec: 3754.7, 300 sec: 3610.0). Total num frames: 1064960. Throughput: 0: 924.9. Samples: 266140. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:05:58,641][02885] Avg episode reward: [(0, '7.340')] | |
| [2024-07-24 19:05:58,657][05263] Saving new best policy, reward=7.340! | |
| [2024-07-24 19:06:03,639][02885] Fps is (10 sec: 4094.4, 60 sec: 3686.2, 300 sec: 3651.6). Total num frames: 1081344. Throughput: 0: 953.7. Samples: 269404. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2024-07-24 19:06:03,647][02885] Avg episode reward: [(0, '7.908')] | |
| [2024-07-24 19:06:03,650][05263] Saving new best policy, reward=7.908! | |
| [2024-07-24 19:06:08,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3665.6). Total num frames: 1097728. Throughput: 0: 907.4. Samples: 273570. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:06:08,638][02885] Avg episode reward: [(0, '8.361')] | |
| [2024-07-24 19:06:08,649][05263] Saving new best policy, reward=8.361! | |
| [2024-07-24 19:06:10,463][05276] Updated weights for policy 0, policy_version 270 (0.0028) | |
| [2024-07-24 19:06:13,635][02885] Fps is (10 sec: 3687.8, 60 sec: 3686.4, 300 sec: 3665.6). Total num frames: 1118208. Throughput: 0: 905.2. Samples: 279524. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:06:13,637][02885] Avg episode reward: [(0, '8.412')] | |
| [2024-07-24 19:06:13,640][05263] Saving new best policy, reward=8.412! | |
| [2024-07-24 19:06:18,635][02885] Fps is (10 sec: 4096.1, 60 sec: 3754.7, 300 sec: 3679.5). Total num frames: 1138688. Throughput: 0: 927.8. Samples: 282532. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:06:18,644][02885] Avg episode reward: [(0, '7.957')] | |
| [2024-07-24 19:06:21,583][05276] Updated weights for policy 0, policy_version 280 (0.0018) | |
| [2024-07-24 19:06:23,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3665.6). Total num frames: 1150976. Throughput: 0: 912.9. Samples: 287424. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:06:23,638][02885] Avg episode reward: [(0, '8.225')] | |
| [2024-07-24 19:06:28,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3549.9, 300 sec: 3679.5). Total num frames: 1167360. Throughput: 0: 876.3. Samples: 292384. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:06:28,640][02885] Avg episode reward: [(0, '9.086')] | |
| [2024-07-24 19:06:28,742][05263] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000286_1171456.pth... | |
| [2024-07-24 19:06:28,877][05263] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000071_290816.pth | |
| [2024-07-24 19:06:28,896][05263] Saving new best policy, reward=9.086! | |
| [2024-07-24 19:06:32,734][05276] Updated weights for policy 0, policy_version 290 (0.0019) | |
| [2024-07-24 19:06:33,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3665.6). Total num frames: 1187840. Throughput: 0: 892.2. Samples: 295390. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:06:33,637][02885] Avg episode reward: [(0, '8.912')] | |
| [2024-07-24 19:06:38,636][02885] Fps is (10 sec: 3686.1, 60 sec: 3618.1, 300 sec: 3651.7). Total num frames: 1204224. Throughput: 0: 925.0. Samples: 301252. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:06:38,641][02885] Avg episode reward: [(0, '8.902')] | |
| [2024-07-24 19:06:43,635][02885] Fps is (10 sec: 3276.7, 60 sec: 3481.6, 300 sec: 3665.6). Total num frames: 1220608. Throughput: 0: 869.7. Samples: 305278. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:06:43,638][02885] Avg episode reward: [(0, '9.065')] | |
| [2024-07-24 19:06:45,365][05276] Updated weights for policy 0, policy_version 300 (0.0016) | |
| [2024-07-24 19:06:48,635][02885] Fps is (10 sec: 3686.8, 60 sec: 3618.1, 300 sec: 3665.6). Total num frames: 1241088. Throughput: 0: 863.1. Samples: 308242. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:06:48,637][02885] Avg episode reward: [(0, '9.563')] | |
| [2024-07-24 19:06:48,647][05263] Saving new best policy, reward=9.563! | |
| [2024-07-24 19:06:53,635][02885] Fps is (10 sec: 3686.5, 60 sec: 3618.1, 300 sec: 3651.7). Total num frames: 1257472. Throughput: 0: 902.9. Samples: 314202. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:06:53,643][02885] Avg episode reward: [(0, '9.847')] | |
| [2024-07-24 19:06:53,649][05263] Saving new best policy, reward=9.847! | |
| [2024-07-24 19:06:57,476][05276] Updated weights for policy 0, policy_version 310 (0.0031) | |
| [2024-07-24 19:06:58,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3413.3, 300 sec: 3637.8). Total num frames: 1269760. Throughput: 0: 856.1. Samples: 318048. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:06:58,637][02885] Avg episode reward: [(0, '9.700')] | |
| [2024-07-24 19:07:03,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3481.8, 300 sec: 3651.7). Total num frames: 1290240. Throughput: 0: 841.1. Samples: 320382. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:07:03,642][02885] Avg episode reward: [(0, '9.034')] | |
| [2024-07-24 19:07:08,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3481.6, 300 sec: 3637.8). Total num frames: 1306624. Throughput: 0: 865.7. Samples: 326382. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:07:08,647][02885] Avg episode reward: [(0, '9.043')] | |
| [2024-07-24 19:07:08,685][05276] Updated weights for policy 0, policy_version 320 (0.0030) | |
| [2024-07-24 19:07:13,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3413.3, 300 sec: 3623.9). Total num frames: 1323008. Throughput: 0: 865.3. Samples: 331322. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:07:13,640][02885] Avg episode reward: [(0, '9.209')] | |
| [2024-07-24 19:07:18,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3276.8, 300 sec: 3623.9). Total num frames: 1335296. Throughput: 0: 840.0. Samples: 333188. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:07:18,638][02885] Avg episode reward: [(0, '10.245')] | |
| [2024-07-24 19:07:18,648][05263] Saving new best policy, reward=10.245! | |
| [2024-07-24 19:07:21,602][05276] Updated weights for policy 0, policy_version 330 (0.0027) | |
| [2024-07-24 19:07:23,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3413.3, 300 sec: 3610.0). Total num frames: 1355776. Throughput: 0: 831.3. Samples: 338658. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:07:23,637][02885] Avg episode reward: [(0, '10.631')] | |
| [2024-07-24 19:07:23,714][05263] Saving new best policy, reward=10.631! | |
| [2024-07-24 19:07:28,637][02885] Fps is (10 sec: 4095.1, 60 sec: 3481.5, 300 sec: 3610.0). Total num frames: 1376256. Throughput: 0: 878.7. Samples: 344822. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:07:28,641][02885] Avg episode reward: [(0, '11.530')] | |
| [2024-07-24 19:07:28,651][05263] Saving new best policy, reward=11.530! | |
| [2024-07-24 19:07:33,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3345.1, 300 sec: 3610.0). Total num frames: 1388544. Throughput: 0: 854.0. Samples: 346674. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:07:33,638][02885] Avg episode reward: [(0, '12.418')] | |
| [2024-07-24 19:07:33,642][05263] Saving new best policy, reward=12.418! | |
| [2024-07-24 19:07:33,976][05276] Updated weights for policy 0, policy_version 340 (0.0018) | |
| [2024-07-24 19:07:38,635][02885] Fps is (10 sec: 3277.5, 60 sec: 3413.4, 300 sec: 3623.9). Total num frames: 1409024. Throughput: 0: 831.7. Samples: 351628. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:07:38,640][02885] Avg episode reward: [(0, '12.641')] | |
| [2024-07-24 19:07:38,652][05263] Saving new best policy, reward=12.641! | |
| [2024-07-24 19:07:43,625][05276] Updated weights for policy 0, policy_version 350 (0.0019) | |
| [2024-07-24 19:07:43,635][02885] Fps is (10 sec: 4505.6, 60 sec: 3549.9, 300 sec: 3623.9). Total num frames: 1433600. Throughput: 0: 889.4. Samples: 358070. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:07:43,639][02885] Avg episode reward: [(0, '13.516')] | |
| [2024-07-24 19:07:43,641][05263] Saving new best policy, reward=13.516! | |
| [2024-07-24 19:07:48,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3413.3, 300 sec: 3610.0). Total num frames: 1445888. Throughput: 0: 901.3. Samples: 360940. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:07:48,643][02885] Avg episode reward: [(0, '12.950')] | |
| [2024-07-24 19:07:53,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3413.3, 300 sec: 3610.0). Total num frames: 1462272. Throughput: 0: 857.0. Samples: 364948. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:07:53,640][02885] Avg episode reward: [(0, '12.262')] | |
| [2024-07-24 19:07:55,806][05276] Updated weights for policy 0, policy_version 360 (0.0027) | |
| [2024-07-24 19:07:58,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3549.9, 300 sec: 3610.0). Total num frames: 1482752. Throughput: 0: 889.1. Samples: 371330. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:07:58,638][02885] Avg episode reward: [(0, '12.085')] | |
| [2024-07-24 19:08:03,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3549.9, 300 sec: 3610.1). Total num frames: 1503232. Throughput: 0: 921.2. Samples: 374644. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2024-07-24 19:08:03,642][02885] Avg episode reward: [(0, '12.483')] | |
| [2024-07-24 19:08:07,197][05276] Updated weights for policy 0, policy_version 370 (0.0019) | |
| [2024-07-24 19:08:08,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3549.9, 300 sec: 3610.0). Total num frames: 1519616. Throughput: 0: 899.2. Samples: 379120. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2024-07-24 19:08:08,641][02885] Avg episode reward: [(0, '13.015')] | |
| [2024-07-24 19:08:13,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3623.9). Total num frames: 1540096. Throughput: 0: 885.3. Samples: 384660. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:08:13,638][02885] Avg episode reward: [(0, '13.185')] | |
| [2024-07-24 19:08:17,390][05276] Updated weights for policy 0, policy_version 380 (0.0026) | |
| [2024-07-24 19:08:18,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3610.0). Total num frames: 1560576. Throughput: 0: 918.7. Samples: 388014. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:08:18,640][02885] Avg episode reward: [(0, '12.609')] | |
| [2024-07-24 19:08:23,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3596.2). Total num frames: 1572864. Throughput: 0: 932.6. Samples: 393596. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:08:23,642][02885] Avg episode reward: [(0, '12.087')] | |
| [2024-07-24 19:08:28,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.3, 300 sec: 3610.0). Total num frames: 1593344. Throughput: 0: 892.0. Samples: 398210. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:08:28,639][02885] Avg episode reward: [(0, '11.816')] | |
| [2024-07-24 19:08:28,663][05263] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000389_1593344.pth... | |
| [2024-07-24 19:08:28,786][05263] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000179_733184.pth | |
| [2024-07-24 19:08:29,356][05276] Updated weights for policy 0, policy_version 390 (0.0029) | |
| [2024-07-24 19:08:33,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3610.0). Total num frames: 1613824. Throughput: 0: 900.5. Samples: 401462. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:08:33,641][02885] Avg episode reward: [(0, '12.589')] | |
| [2024-07-24 19:08:38,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3610.1). Total num frames: 1634304. Throughput: 0: 956.1. Samples: 407974. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:08:38,637][02885] Avg episode reward: [(0, '12.170')] | |
| [2024-07-24 19:08:39,966][05276] Updated weights for policy 0, policy_version 400 (0.0046) | |
| [2024-07-24 19:08:43,635][02885] Fps is (10 sec: 3276.7, 60 sec: 3549.8, 300 sec: 3610.1). Total num frames: 1646592. Throughput: 0: 905.8. Samples: 412092. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:08:43,642][02885] Avg episode reward: [(0, '12.007')] | |
| [2024-07-24 19:08:48,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3610.0). Total num frames: 1667072. Throughput: 0: 899.7. Samples: 415132. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:08:48,642][02885] Avg episode reward: [(0, '11.975')] | |
| [2024-07-24 19:08:50,627][05276] Updated weights for policy 0, policy_version 410 (0.0028) | |
| [2024-07-24 19:08:53,635][02885] Fps is (10 sec: 4505.8, 60 sec: 3822.9, 300 sec: 3623.9). Total num frames: 1691648. Throughput: 0: 944.7. Samples: 421630. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:08:53,640][02885] Avg episode reward: [(0, '12.036')] | |
| [2024-07-24 19:08:58,644][02885] Fps is (10 sec: 3683.0, 60 sec: 3685.8, 300 sec: 3609.9). Total num frames: 1703936. Throughput: 0: 929.2. Samples: 426484. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2024-07-24 19:08:58,652][02885] Avg episode reward: [(0, '13.080')] | |
| [2024-07-24 19:09:02,713][05276] Updated weights for policy 0, policy_version 420 (0.0040) | |
| [2024-07-24 19:09:03,636][02885] Fps is (10 sec: 2867.0, 60 sec: 3618.1, 300 sec: 3610.0). Total num frames: 1720320. Throughput: 0: 899.2. Samples: 428478. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:09:03,641][02885] Avg episode reward: [(0, '14.214')] | |
| [2024-07-24 19:09:03,643][05263] Saving new best policy, reward=14.214! | |
| [2024-07-24 19:09:08,635][02885] Fps is (10 sec: 4099.8, 60 sec: 3754.7, 300 sec: 3623.9). Total num frames: 1744896. Throughput: 0: 913.8. Samples: 434716. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:09:08,640][02885] Avg episode reward: [(0, '15.723')] | |
| [2024-07-24 19:09:08,648][05263] Saving new best policy, reward=15.723! | |
| [2024-07-24 19:09:13,635][02885] Fps is (10 sec: 3686.6, 60 sec: 3618.1, 300 sec: 3596.1). Total num frames: 1757184. Throughput: 0: 935.1. Samples: 440288. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:09:13,638][02885] Avg episode reward: [(0, '16.336')] | |
| [2024-07-24 19:09:13,640][05263] Saving new best policy, reward=16.336! | |
| [2024-07-24 19:09:13,952][05276] Updated weights for policy 0, policy_version 430 (0.0028) | |
| [2024-07-24 19:09:18,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3549.9, 300 sec: 3596.1). Total num frames: 1773568. Throughput: 0: 904.5. Samples: 442164. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:09:18,638][02885] Avg episode reward: [(0, '15.848')] | |
| [2024-07-24 19:09:23,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3610.0). Total num frames: 1794048. Throughput: 0: 878.4. Samples: 447504. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:09:23,638][02885] Avg episode reward: [(0, '16.002')] | |
| [2024-07-24 19:09:25,221][05276] Updated weights for policy 0, policy_version 440 (0.0042) | |
| [2024-07-24 19:09:28,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3596.1). Total num frames: 1814528. Throughput: 0: 933.9. Samples: 454118. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:09:28,641][02885] Avg episode reward: [(0, '15.808')] | |
| [2024-07-24 19:09:33,636][02885] Fps is (10 sec: 3276.5, 60 sec: 3549.8, 300 sec: 3582.3). Total num frames: 1826816. Throughput: 0: 914.2. Samples: 456272. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:09:33,638][02885] Avg episode reward: [(0, '14.954')] | |
| [2024-07-24 19:09:36,936][05276] Updated weights for policy 0, policy_version 450 (0.0028) | |
| [2024-07-24 19:09:38,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3596.2). Total num frames: 1847296. Throughput: 0: 878.4. Samples: 461156. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:09:38,637][02885] Avg episode reward: [(0, '14.885')] | |
| [2024-07-24 19:09:43,635][02885] Fps is (10 sec: 4506.0, 60 sec: 3754.7, 300 sec: 3610.0). Total num frames: 1871872. Throughput: 0: 919.5. Samples: 467854. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:09:43,637][02885] Avg episode reward: [(0, '14.594')] | |
| [2024-07-24 19:09:46,803][05276] Updated weights for policy 0, policy_version 460 (0.0013) | |
| [2024-07-24 19:09:48,636][02885] Fps is (10 sec: 4095.5, 60 sec: 3686.3, 300 sec: 3610.0). Total num frames: 1888256. Throughput: 0: 942.5. Samples: 470890. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:09:48,643][02885] Avg episode reward: [(0, '13.417')] | |
| [2024-07-24 19:09:53,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3481.6, 300 sec: 3596.1). Total num frames: 1900544. Throughput: 0: 889.7. Samples: 474752. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:09:53,643][02885] Avg episode reward: [(0, '13.898')] | |
| [2024-07-24 19:09:58,499][05276] Updated weights for policy 0, policy_version 470 (0.0017) | |
| [2024-07-24 19:09:58,635][02885] Fps is (10 sec: 3686.8, 60 sec: 3687.0, 300 sec: 3610.0). Total num frames: 1925120. Throughput: 0: 906.5. Samples: 481080. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:09:58,644][02885] Avg episode reward: [(0, '14.036')] | |
| [2024-07-24 19:10:03,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3596.1). Total num frames: 1941504. Throughput: 0: 936.4. Samples: 484300. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:10:03,638][02885] Avg episode reward: [(0, '15.425')] | |
| [2024-07-24 19:10:08,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3596.1). Total num frames: 1957888. Throughput: 0: 920.0. Samples: 488902. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:10:08,643][02885] Avg episode reward: [(0, '15.407')] | |
| [2024-07-24 19:10:10,821][05276] Updated weights for policy 0, policy_version 480 (0.0029) | |
| [2024-07-24 19:10:13,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3610.0). Total num frames: 1978368. Throughput: 0: 892.0. Samples: 494258. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:10:13,637][02885] Avg episode reward: [(0, '16.655')] | |
| [2024-07-24 19:10:13,641][05263] Saving new best policy, reward=16.655! | |
| [2024-07-24 19:10:18,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3596.1). Total num frames: 1994752. Throughput: 0: 913.7. Samples: 497386. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:10:18,637][02885] Avg episode reward: [(0, '17.423')] | |
| [2024-07-24 19:10:18,678][05263] Saving new best policy, reward=17.423! | |
| [2024-07-24 19:10:21,254][05276] Updated weights for policy 0, policy_version 490 (0.0017) | |
| [2024-07-24 19:10:23,637][02885] Fps is (10 sec: 3276.3, 60 sec: 3618.0, 300 sec: 3582.2). Total num frames: 2011136. Throughput: 0: 923.7. Samples: 502724. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:10:23,639][02885] Avg episode reward: [(0, '17.974')] | |
| [2024-07-24 19:10:23,642][05263] Saving new best policy, reward=17.974! | |
| [2024-07-24 19:10:28,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3596.1). Total num frames: 2027520. Throughput: 0: 871.5. Samples: 507072. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:10:28,644][02885] Avg episode reward: [(0, '17.706')] | |
| [2024-07-24 19:10:28,657][05263] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000495_2027520.pth... | |
| [2024-07-24 19:10:28,801][05263] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000286_1171456.pth | |
| [2024-07-24 19:10:32,995][05276] Updated weights for policy 0, policy_version 500 (0.0041) | |
| [2024-07-24 19:10:33,635][02885] Fps is (10 sec: 3687.0, 60 sec: 3686.5, 300 sec: 3596.1). Total num frames: 2048000. Throughput: 0: 873.6. Samples: 510202. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:10:33,637][02885] Avg episode reward: [(0, '16.992')] | |
| [2024-07-24 19:10:38,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3582.3). Total num frames: 2068480. Throughput: 0: 931.7. Samples: 516678. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:10:38,638][02885] Avg episode reward: [(0, '16.003')] | |
| [2024-07-24 19:10:43,635][02885] Fps is (10 sec: 3276.7, 60 sec: 3481.6, 300 sec: 3582.3). Total num frames: 2080768. Throughput: 0: 881.1. Samples: 520732. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:10:43,640][02885] Avg episode reward: [(0, '15.598')] | |
| [2024-07-24 19:10:45,110][05276] Updated weights for policy 0, policy_version 510 (0.0023) | |
| [2024-07-24 19:10:48,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3596.1). Total num frames: 2101248. Throughput: 0: 873.6. Samples: 523612. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:10:48,638][02885] Avg episode reward: [(0, '15.392')] | |
| [2024-07-24 19:10:53,635][02885] Fps is (10 sec: 4096.2, 60 sec: 3686.4, 300 sec: 3582.3). Total num frames: 2121728. Throughput: 0: 912.0. Samples: 529940. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:10:53,643][02885] Avg episode reward: [(0, '16.098')] | |
| [2024-07-24 19:10:55,182][05276] Updated weights for policy 0, policy_version 520 (0.0024) | |
| [2024-07-24 19:10:58,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3549.9, 300 sec: 3582.3). Total num frames: 2138112. Throughput: 0: 900.7. Samples: 534790. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:10:58,639][02885] Avg episode reward: [(0, '15.426')] | |
| [2024-07-24 19:11:03,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3582.3). Total num frames: 2154496. Throughput: 0: 876.1. Samples: 536810. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:11:03,638][02885] Avg episode reward: [(0, '15.869')] | |
| [2024-07-24 19:11:06,932][05276] Updated weights for policy 0, policy_version 530 (0.0033) | |
| [2024-07-24 19:11:08,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3582.3). Total num frames: 2174976. Throughput: 0: 899.8. Samples: 543212. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:11:08,638][02885] Avg episode reward: [(0, '15.887')] | |
| [2024-07-24 19:11:13,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3618.1, 300 sec: 3582.3). Total num frames: 2195456. Throughput: 0: 935.3. Samples: 549160. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:11:13,639][02885] Avg episode reward: [(0, '15.765')] | |
| [2024-07-24 19:11:18,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3582.3). Total num frames: 2207744. Throughput: 0: 908.1. Samples: 551066. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:11:18,637][02885] Avg episode reward: [(0, '15.782')] | |
| [2024-07-24 19:11:19,216][05276] Updated weights for policy 0, policy_version 540 (0.0029) | |
| [2024-07-24 19:11:23,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.2, 300 sec: 3596.2). Total num frames: 2228224. Throughput: 0: 885.5. Samples: 556526. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:11:23,637][02885] Avg episode reward: [(0, '16.210')] | |
| [2024-07-24 19:11:28,636][02885] Fps is (10 sec: 4095.6, 60 sec: 3686.3, 300 sec: 3596.1). Total num frames: 2248704. Throughput: 0: 938.9. Samples: 562982. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:11:28,638][02885] Avg episode reward: [(0, '15.603')] | |
| [2024-07-24 19:11:28,839][05276] Updated weights for policy 0, policy_version 550 (0.0034) | |
| [2024-07-24 19:11:33,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3596.2). Total num frames: 2265088. Throughput: 0: 923.5. Samples: 565170. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:11:33,642][02885] Avg episode reward: [(0, '15.352')] | |
| [2024-07-24 19:11:38,635][02885] Fps is (10 sec: 3277.1, 60 sec: 3549.9, 300 sec: 3596.2). Total num frames: 2281472. Throughput: 0: 885.3. Samples: 569780. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:11:38,638][02885] Avg episode reward: [(0, '15.446')] | |
| [2024-07-24 19:11:40,780][05276] Updated weights for policy 0, policy_version 560 (0.0030) | |
| [2024-07-24 19:11:43,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3610.0). Total num frames: 2306048. Throughput: 0: 921.1. Samples: 576240. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:11:43,637][02885] Avg episode reward: [(0, '15.976')] | |
| [2024-07-24 19:11:48,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3610.0). Total num frames: 2322432. Throughput: 0: 946.7. Samples: 579410. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:11:48,646][02885] Avg episode reward: [(0, '15.645')] | |
| [2024-07-24 19:11:52,974][05276] Updated weights for policy 0, policy_version 570 (0.0027) | |
| [2024-07-24 19:11:53,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3549.9, 300 sec: 3610.0). Total num frames: 2334720. Throughput: 0: 891.7. Samples: 583338. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:11:53,640][02885] Avg episode reward: [(0, '17.462')] | |
| [2024-07-24 19:11:58,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3610.0). Total num frames: 2355200. Throughput: 0: 893.5. Samples: 589366. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:11:58,642][02885] Avg episode reward: [(0, '17.984')] | |
| [2024-07-24 19:11:58,725][05263] Saving new best policy, reward=17.984! | |
| [2024-07-24 19:12:02,589][05276] Updated weights for policy 0, policy_version 580 (0.0023) | |
| [2024-07-24 19:12:03,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3623.9). Total num frames: 2375680. Throughput: 0: 920.3. Samples: 592478. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:12:03,638][02885] Avg episode reward: [(0, '17.287')] | |
| [2024-07-24 19:12:08,637][02885] Fps is (10 sec: 3685.7, 60 sec: 3618.0, 300 sec: 3623.9). Total num frames: 2392064. Throughput: 0: 909.6. Samples: 597460. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:12:08,639][02885] Avg episode reward: [(0, '17.543')] | |
| [2024-07-24 19:12:13,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3637.8). Total num frames: 2408448. Throughput: 0: 880.0. Samples: 602580. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:12:13,642][02885] Avg episode reward: [(0, '16.879')] | |
| [2024-07-24 19:12:14,788][05276] Updated weights for policy 0, policy_version 590 (0.0032) | |
| [2024-07-24 19:12:18,635][02885] Fps is (10 sec: 4096.8, 60 sec: 3754.7, 300 sec: 3651.7). Total num frames: 2433024. Throughput: 0: 903.7. Samples: 605838. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:12:18,637][02885] Avg episode reward: [(0, '16.983')] | |
| [2024-07-24 19:12:23,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3623.9). Total num frames: 2445312. Throughput: 0: 930.6. Samples: 611656. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:12:23,639][02885] Avg episode reward: [(0, '17.198')] | |
| [2024-07-24 19:12:26,777][05276] Updated weights for policy 0, policy_version 600 (0.0027) | |
| [2024-07-24 19:12:28,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3549.9, 300 sec: 3637.8). Total num frames: 2461696. Throughput: 0: 878.4. Samples: 615766. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:12:28,637][02885] Avg episode reward: [(0, '17.929')] | |
| [2024-07-24 19:12:28,653][05263] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000601_2461696.pth... | |
| [2024-07-24 19:12:28,778][05263] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000389_1593344.pth | |
| [2024-07-24 19:12:33,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3637.8). Total num frames: 2482176. Throughput: 0: 877.7. Samples: 618906. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:12:33,639][02885] Avg episode reward: [(0, '18.573')] | |
| [2024-07-24 19:12:33,715][05263] Saving new best policy, reward=18.573! | |
| [2024-07-24 19:12:36,531][05276] Updated weights for policy 0, policy_version 610 (0.0028) | |
| [2024-07-24 19:12:38,637][02885] Fps is (10 sec: 4095.3, 60 sec: 3686.3, 300 sec: 3623.9). Total num frames: 2502656. Throughput: 0: 935.3. Samples: 625428. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:12:38,641][02885] Avg episode reward: [(0, '17.718')] | |
| [2024-07-24 19:12:43,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3481.6, 300 sec: 3623.9). Total num frames: 2514944. Throughput: 0: 897.8. Samples: 629766. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:12:43,637][02885] Avg episode reward: [(0, '17.657')] | |
| [2024-07-24 19:12:48,635][02885] Fps is (10 sec: 3277.4, 60 sec: 3549.9, 300 sec: 3637.8). Total num frames: 2535424. Throughput: 0: 880.4. Samples: 632098. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:12:48,641][02885] Avg episode reward: [(0, '18.603')] | |
| [2024-07-24 19:12:48,650][05263] Saving new best policy, reward=18.603! | |
| [2024-07-24 19:12:48,911][05276] Updated weights for policy 0, policy_version 620 (0.0034) | |
| [2024-07-24 19:12:53,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3637.8). Total num frames: 2555904. Throughput: 0: 909.5. Samples: 638386. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:12:53,640][02885] Avg episode reward: [(0, '17.031')] | |
| [2024-07-24 19:12:58,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3623.9). Total num frames: 2572288. Throughput: 0: 914.2. Samples: 643720. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:12:58,642][02885] Avg episode reward: [(0, '17.422')] | |
| [2024-07-24 19:13:00,597][05276] Updated weights for policy 0, policy_version 630 (0.0032) | |
| [2024-07-24 19:13:03,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3623.9). Total num frames: 2588672. Throughput: 0: 884.6. Samples: 645644. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:13:03,638][02885] Avg episode reward: [(0, '17.887')] | |
| [2024-07-24 19:13:08,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.2, 300 sec: 3623.9). Total num frames: 2609152. Throughput: 0: 889.8. Samples: 651698. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:13:08,637][02885] Avg episode reward: [(0, '17.724')] | |
| [2024-07-24 19:13:10,686][05276] Updated weights for policy 0, policy_version 640 (0.0025) | |
| [2024-07-24 19:13:13,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3623.9). Total num frames: 2629632. Throughput: 0: 939.8. Samples: 658056. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:13:13,642][02885] Avg episode reward: [(0, '17.214')] | |
| [2024-07-24 19:13:18,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3481.6, 300 sec: 3623.9). Total num frames: 2641920. Throughput: 0: 913.0. Samples: 659990. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:13:18,637][02885] Avg episode reward: [(0, '17.762')] | |
| [2024-07-24 19:13:23,175][05276] Updated weights for policy 0, policy_version 650 (0.0014) | |
| [2024-07-24 19:13:23,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3623.9). Total num frames: 2662400. Throughput: 0: 873.5. Samples: 664734. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:13:23,638][02885] Avg episode reward: [(0, '17.650')] | |
| [2024-07-24 19:13:28,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3623.9). Total num frames: 2682880. Throughput: 0: 917.6. Samples: 671056. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:13:28,638][02885] Avg episode reward: [(0, '19.130')] | |
| [2024-07-24 19:13:28,645][05263] Saving new best policy, reward=19.130! | |
| [2024-07-24 19:13:33,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3610.0). Total num frames: 2699264. Throughput: 0: 923.2. Samples: 673640. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:13:33,639][02885] Avg episode reward: [(0, '18.757')] | |
| [2024-07-24 19:13:35,150][05276] Updated weights for policy 0, policy_version 660 (0.0038) | |
| [2024-07-24 19:13:38,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3550.0, 300 sec: 3623.9). Total num frames: 2715648. Throughput: 0: 871.0. Samples: 677580. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:13:38,637][02885] Avg episode reward: [(0, '19.933')] | |
| [2024-07-24 19:13:38,653][05263] Saving new best policy, reward=19.933! | |
| [2024-07-24 19:13:43,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3623.9). Total num frames: 2736128. Throughput: 0: 896.1. Samples: 684044. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:13:43,640][02885] Avg episode reward: [(0, '18.922')] | |
| [2024-07-24 19:13:45,272][05276] Updated weights for policy 0, policy_version 670 (0.0028) | |
| [2024-07-24 19:13:48,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3596.1). Total num frames: 2752512. Throughput: 0: 924.5. Samples: 687248. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:13:48,641][02885] Avg episode reward: [(0, '17.557')] | |
| [2024-07-24 19:13:53,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3610.1). Total num frames: 2768896. Throughput: 0: 888.4. Samples: 691676. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:13:53,637][02885] Avg episode reward: [(0, '16.301')] | |
| [2024-07-24 19:13:57,667][05276] Updated weights for policy 0, policy_version 680 (0.0030) | |
| [2024-07-24 19:13:58,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3623.9). Total num frames: 2789376. Throughput: 0: 864.5. Samples: 696960. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:13:58,638][02885] Avg episode reward: [(0, '17.352')] | |
| [2024-07-24 19:14:03,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3610.0). Total num frames: 2809856. Throughput: 0: 894.7. Samples: 700250. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:14:03,639][02885] Avg episode reward: [(0, '18.486')] | |
| [2024-07-24 19:14:08,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3610.0). Total num frames: 2822144. Throughput: 0: 911.5. Samples: 705750. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:14:08,641][02885] Avg episode reward: [(0, '19.721')] | |
| [2024-07-24 19:14:08,957][05276] Updated weights for policy 0, policy_version 690 (0.0013) | |
| [2024-07-24 19:14:13,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3481.6, 300 sec: 3610.0). Total num frames: 2838528. Throughput: 0: 869.3. Samples: 710176. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:14:13,637][02885] Avg episode reward: [(0, '18.238')] | |
| [2024-07-24 19:14:18,635][02885] Fps is (10 sec: 4095.9, 60 sec: 3686.4, 300 sec: 3623.9). Total num frames: 2863104. Throughput: 0: 884.9. Samples: 713462. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:14:18,638][02885] Avg episode reward: [(0, '19.821')] | |
| [2024-07-24 19:14:19,388][05276] Updated weights for policy 0, policy_version 700 (0.0014) | |
| [2024-07-24 19:14:23,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3618.1, 300 sec: 3610.0). Total num frames: 2879488. Throughput: 0: 936.8. Samples: 719736. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:14:23,642][02885] Avg episode reward: [(0, '20.043')] | |
| [2024-07-24 19:14:23,646][05263] Saving new best policy, reward=20.043! | |
| [2024-07-24 19:14:28,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3481.6, 300 sec: 3610.0). Total num frames: 2891776. Throughput: 0: 879.2. Samples: 723608. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:14:28,644][02885] Avg episode reward: [(0, '20.434')] | |
| [2024-07-24 19:14:28,665][05263] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000706_2891776.pth... | |
| [2024-07-24 19:14:28,833][05263] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000495_2027520.pth | |
| [2024-07-24 19:14:28,853][05263] Saving new best policy, reward=20.434! | |
| [2024-07-24 19:14:32,006][05276] Updated weights for policy 0, policy_version 710 (0.0022) | |
| [2024-07-24 19:14:33,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3610.0). Total num frames: 2912256. Throughput: 0: 867.6. Samples: 726288. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:14:33,640][02885] Avg episode reward: [(0, '20.224')] | |
| [2024-07-24 19:14:38,635][02885] Fps is (10 sec: 4505.6, 60 sec: 3686.4, 300 sec: 3610.0). Total num frames: 2936832. Throughput: 0: 913.3. Samples: 732776. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:14:38,640][02885] Avg episode reward: [(0, '20.487')] | |
| [2024-07-24 19:14:38,650][05263] Saving new best policy, reward=20.487! | |
| [2024-07-24 19:14:43,060][05276] Updated weights for policy 0, policy_version 720 (0.0030) | |
| [2024-07-24 19:14:43,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3549.9, 300 sec: 3596.2). Total num frames: 2949120. Throughput: 0: 905.3. Samples: 737698. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:14:43,637][02885] Avg episode reward: [(0, '21.995')] | |
| [2024-07-24 19:14:43,645][05263] Saving new best policy, reward=21.995! | |
| [2024-07-24 19:14:48,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3549.9, 300 sec: 3610.0). Total num frames: 2965504. Throughput: 0: 875.3. Samples: 739640. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:14:48,642][02885] Avg episode reward: [(0, '22.002')] | |
| [2024-07-24 19:14:48,652][05263] Saving new best policy, reward=22.002! | |
| [2024-07-24 19:14:53,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3596.2). Total num frames: 2985984. Throughput: 0: 889.6. Samples: 745784. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:14:53,638][02885] Avg episode reward: [(0, '20.175')] | |
| [2024-07-24 19:14:53,932][05276] Updated weights for policy 0, policy_version 730 (0.0022) | |
| [2024-07-24 19:14:58,638][02885] Fps is (10 sec: 3685.3, 60 sec: 3549.7, 300 sec: 3596.1). Total num frames: 3002368. Throughput: 0: 918.1. Samples: 751494. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:14:58,643][02885] Avg episode reward: [(0, '19.457')] | |
| [2024-07-24 19:15:03,636][02885] Fps is (10 sec: 3276.4, 60 sec: 3481.5, 300 sec: 3596.1). Total num frames: 3018752. Throughput: 0: 887.0. Samples: 753378. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:15:03,639][02885] Avg episode reward: [(0, '20.056')] | |
| [2024-07-24 19:15:06,883][05276] Updated weights for policy 0, policy_version 740 (0.0036) | |
| [2024-07-24 19:15:08,635][02885] Fps is (10 sec: 3277.8, 60 sec: 3549.9, 300 sec: 3582.3). Total num frames: 3035136. Throughput: 0: 857.2. Samples: 758312. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:15:08,643][02885] Avg episode reward: [(0, '20.591')] | |
| [2024-07-24 19:15:13,635][02885] Fps is (10 sec: 3686.9, 60 sec: 3618.1, 300 sec: 3596.1). Total num frames: 3055616. Throughput: 0: 899.5. Samples: 764084. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:15:13,645][02885] Avg episode reward: [(0, '18.422')] | |
| [2024-07-24 19:15:18,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3413.3, 300 sec: 3582.3). Total num frames: 3067904. Throughput: 0: 886.0. Samples: 766160. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:15:18,638][02885] Avg episode reward: [(0, '19.206')] | |
| [2024-07-24 19:15:20,040][05276] Updated weights for policy 0, policy_version 750 (0.0028) | |
| [2024-07-24 19:15:23,635][02885] Fps is (10 sec: 2457.6, 60 sec: 3345.1, 300 sec: 3568.4). Total num frames: 3080192. Throughput: 0: 818.4. Samples: 769606. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:15:23,643][02885] Avg episode reward: [(0, '19.109')] | |
| [2024-07-24 19:15:28,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3481.6, 300 sec: 3568.4). Total num frames: 3100672. Throughput: 0: 836.0. Samples: 775320. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:15:28,637][02885] Avg episode reward: [(0, '19.595')] | |
| [2024-07-24 19:15:31,657][05276] Updated weights for policy 0, policy_version 760 (0.0026) | |
| [2024-07-24 19:15:33,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3413.3, 300 sec: 3554.5). Total num frames: 3117056. Throughput: 0: 855.6. Samples: 778142. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:15:33,639][02885] Avg episode reward: [(0, '19.582')] | |
| [2024-07-24 19:15:38,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3208.5, 300 sec: 3554.5). Total num frames: 3129344. Throughput: 0: 808.8. Samples: 782182. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:15:38,642][02885] Avg episode reward: [(0, '19.835')] | |
| [2024-07-24 19:15:43,635][02885] Fps is (10 sec: 3276.7, 60 sec: 3345.1, 300 sec: 3554.5). Total num frames: 3149824. Throughput: 0: 799.8. Samples: 787484. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:15:43,637][02885] Avg episode reward: [(0, '21.094')] | |
| [2024-07-24 19:15:44,375][05276] Updated weights for policy 0, policy_version 770 (0.0021) | |
| [2024-07-24 19:15:48,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3413.3, 300 sec: 3554.5). Total num frames: 3170304. Throughput: 0: 830.1. Samples: 790732. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:15:48,639][02885] Avg episode reward: [(0, '22.713')] | |
| [2024-07-24 19:15:48,649][05263] Saving new best policy, reward=22.713! | |
| [2024-07-24 19:15:53,635][02885] Fps is (10 sec: 3686.5, 60 sec: 3345.1, 300 sec: 3554.5). Total num frames: 3186688. Throughput: 0: 840.3. Samples: 796126. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:15:53,638][02885] Avg episode reward: [(0, '23.073')] | |
| [2024-07-24 19:15:53,640][05263] Saving new best policy, reward=23.073! | |
| [2024-07-24 19:15:56,412][05276] Updated weights for policy 0, policy_version 780 (0.0023) | |
| [2024-07-24 19:15:58,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3345.2, 300 sec: 3554.5). Total num frames: 3203072. Throughput: 0: 809.1. Samples: 800492. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2024-07-24 19:15:58,637][02885] Avg episode reward: [(0, '22.255')] | |
| [2024-07-24 19:16:03,635][02885] Fps is (10 sec: 3686.3, 60 sec: 3413.4, 300 sec: 3554.5). Total num frames: 3223552. Throughput: 0: 832.8. Samples: 803636. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:16:03,638][02885] Avg episode reward: [(0, '21.593')] | |
| [2024-07-24 19:16:06,352][05276] Updated weights for policy 0, policy_version 790 (0.0029) | |
| [2024-07-24 19:16:08,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3413.3, 300 sec: 3540.6). Total num frames: 3239936. Throughput: 0: 900.7. Samples: 810136. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:16:08,639][02885] Avg episode reward: [(0, '22.264')] | |
| [2024-07-24 19:16:13,635][02885] Fps is (10 sec: 2867.3, 60 sec: 3276.8, 300 sec: 3540.6). Total num frames: 3252224. Throughput: 0: 863.3. Samples: 814168. Policy #0 lag: (min: 0.0, avg: 0.7, max: 1.0) | |
| [2024-07-24 19:16:13,641][02885] Avg episode reward: [(0, '22.956')] | |
| [2024-07-24 19:16:18,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3413.3, 300 sec: 3540.6). Total num frames: 3272704. Throughput: 0: 858.9. Samples: 816794. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:16:18,637][02885] Avg episode reward: [(0, '21.718')] | |
| [2024-07-24 19:16:18,674][05276] Updated weights for policy 0, policy_version 800 (0.0036) | |
| [2024-07-24 19:16:23,635][02885] Fps is (10 sec: 4505.6, 60 sec: 3618.1, 300 sec: 3554.5). Total num frames: 3297280. Throughput: 0: 913.1. Samples: 823272. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:16:23,637][02885] Avg episode reward: [(0, '21.490')] | |
| [2024-07-24 19:16:28,635][02885] Fps is (10 sec: 3686.3, 60 sec: 3481.6, 300 sec: 3540.6). Total num frames: 3309568. Throughput: 0: 903.9. Samples: 828158. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:16:28,638][02885] Avg episode reward: [(0, '22.450')] | |
| [2024-07-24 19:16:28,653][05263] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000808_3309568.pth... | |
| [2024-07-24 19:16:28,782][05263] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000601_2461696.pth | |
| [2024-07-24 19:16:30,632][05276] Updated weights for policy 0, policy_version 810 (0.0024) | |
| [2024-07-24 19:16:33,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3481.6, 300 sec: 3540.6). Total num frames: 3325952. Throughput: 0: 875.0. Samples: 830108. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:16:33,642][02885] Avg episode reward: [(0, '21.423')] | |
| [2024-07-24 19:16:38,635][02885] Fps is (10 sec: 4096.1, 60 sec: 3686.4, 300 sec: 3540.6). Total num frames: 3350528. Throughput: 0: 894.6. Samples: 836384. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:16:38,639][02885] Avg episode reward: [(0, '20.518')] | |
| [2024-07-24 19:16:40,335][05276] Updated weights for policy 0, policy_version 820 (0.0028) | |
| [2024-07-24 19:16:43,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3618.2, 300 sec: 3540.6). Total num frames: 3366912. Throughput: 0: 931.8. Samples: 842422. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:16:43,645][02885] Avg episode reward: [(0, '20.480')] | |
| [2024-07-24 19:16:48,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3481.6, 300 sec: 3540.6). Total num frames: 3379200. Throughput: 0: 905.8. Samples: 844398. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:16:48,641][02885] Avg episode reward: [(0, '20.670')] | |
| [2024-07-24 19:16:52,616][05276] Updated weights for policy 0, policy_version 830 (0.0018) | |
| [2024-07-24 19:16:53,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3554.5). Total num frames: 3403776. Throughput: 0: 881.7. Samples: 849812. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:16:53,637][02885] Avg episode reward: [(0, '20.884')] | |
| [2024-07-24 19:16:58,638][02885] Fps is (10 sec: 4504.1, 60 sec: 3686.2, 300 sec: 3554.5). Total num frames: 3424256. Throughput: 0: 932.7. Samples: 856144. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:16:58,642][02885] Avg episode reward: [(0, '20.630')] | |
| [2024-07-24 19:17:03,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3540.6). Total num frames: 3436544. Throughput: 0: 927.4. Samples: 858528. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:17:03,642][02885] Avg episode reward: [(0, '21.316')] | |
| [2024-07-24 19:17:04,322][05276] Updated weights for policy 0, policy_version 840 (0.0023) | |
| [2024-07-24 19:17:08,635][02885] Fps is (10 sec: 3277.9, 60 sec: 3618.1, 300 sec: 3554.5). Total num frames: 3457024. Throughput: 0: 880.6. Samples: 862900. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:17:08,637][02885] Avg episode reward: [(0, '22.458')] | |
| [2024-07-24 19:17:13,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3540.6). Total num frames: 3477504. Throughput: 0: 917.5. Samples: 869444. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:17:13,637][02885] Avg episode reward: [(0, '21.491')] | |
| [2024-07-24 19:17:14,252][05276] Updated weights for policy 0, policy_version 850 (0.0023) | |
| [2024-07-24 19:17:18,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3554.5). Total num frames: 3493888. Throughput: 0: 946.3. Samples: 872692. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:17:18,637][02885] Avg episode reward: [(0, '21.040')] | |
| [2024-07-24 19:17:23,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3481.6, 300 sec: 3540.6). Total num frames: 3506176. Throughput: 0: 895.9. Samples: 876700. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:17:23,639][02885] Avg episode reward: [(0, '21.054')] | |
| [2024-07-24 19:17:26,699][05276] Updated weights for policy 0, policy_version 860 (0.0030) | |
| [2024-07-24 19:17:28,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3554.5). Total num frames: 3530752. Throughput: 0: 890.5. Samples: 882496. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:17:28,642][02885] Avg episode reward: [(0, '20.544')] | |
| [2024-07-24 19:17:33,635][02885] Fps is (10 sec: 4505.6, 60 sec: 3754.7, 300 sec: 3554.5). Total num frames: 3551232. Throughput: 0: 918.4. Samples: 885724. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:17:33,637][02885] Avg episode reward: [(0, '20.733')] | |
| [2024-07-24 19:17:37,626][05276] Updated weights for policy 0, policy_version 870 (0.0025) | |
| [2024-07-24 19:17:38,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3554.5). Total num frames: 3563520. Throughput: 0: 914.4. Samples: 890960. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:17:38,639][02885] Avg episode reward: [(0, '20.580')] | |
| [2024-07-24 19:17:43,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3554.5). Total num frames: 3584000. Throughput: 0: 887.3. Samples: 896070. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:17:43,638][02885] Avg episode reward: [(0, '21.328')] | |
| [2024-07-24 19:17:47,811][05276] Updated weights for policy 0, policy_version 880 (0.0026) | |
| [2024-07-24 19:17:48,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3554.5). Total num frames: 3604480. Throughput: 0: 908.5. Samples: 899412. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:17:48,638][02885] Avg episode reward: [(0, '20.050')] | |
| [2024-07-24 19:17:53,636][02885] Fps is (10 sec: 3686.1, 60 sec: 3618.1, 300 sec: 3554.5). Total num frames: 3620864. Throughput: 0: 943.6. Samples: 905362. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:17:53,639][02885] Avg episode reward: [(0, '18.849')] | |
| [2024-07-24 19:17:58,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3550.1, 300 sec: 3554.5). Total num frames: 3637248. Throughput: 0: 886.5. Samples: 909336. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:17:58,641][02885] Avg episode reward: [(0, '19.716')] | |
| [2024-07-24 19:18:00,203][05276] Updated weights for policy 0, policy_version 890 (0.0023) | |
| [2024-07-24 19:18:03,635][02885] Fps is (10 sec: 3686.6, 60 sec: 3686.4, 300 sec: 3554.5). Total num frames: 3657728. Throughput: 0: 885.2. Samples: 912526. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2024-07-24 19:18:03,641][02885] Avg episode reward: [(0, '19.977')] | |
| [2024-07-24 19:18:08,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3554.5). Total num frames: 3678208. Throughput: 0: 943.0. Samples: 919136. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:18:08,642][02885] Avg episode reward: [(0, '19.452')] | |
| [2024-07-24 19:18:10,497][05276] Updated weights for policy 0, policy_version 900 (0.0013) | |
| [2024-07-24 19:18:13,635][02885] Fps is (10 sec: 3686.5, 60 sec: 3618.1, 300 sec: 3568.4). Total num frames: 3694592. Throughput: 0: 914.7. Samples: 923658. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:18:13,644][02885] Avg episode reward: [(0, '19.590')] | |
| [2024-07-24 19:18:18,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3554.5). Total num frames: 3710976. Throughput: 0: 894.9. Samples: 925994. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:18:18,638][02885] Avg episode reward: [(0, '21.980')] | |
| [2024-07-24 19:18:21,785][05276] Updated weights for policy 0, policy_version 910 (0.0017) | |
| [2024-07-24 19:18:23,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3822.9, 300 sec: 3568.4). Total num frames: 3735552. Throughput: 0: 924.0. Samples: 932538. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:18:23,640][02885] Avg episode reward: [(0, '22.373')] | |
| [2024-07-24 19:18:28,641][02885] Fps is (10 sec: 3684.2, 60 sec: 3617.8, 300 sec: 3554.4). Total num frames: 3747840. Throughput: 0: 921.7. Samples: 937550. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:18:28,644][02885] Avg episode reward: [(0, '21.937')] | |
| [2024-07-24 19:18:28,660][05263] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000915_3747840.pth... | |
| [2024-07-24 19:18:28,835][05263] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000706_2891776.pth | |
| [2024-07-24 19:18:33,635][02885] Fps is (10 sec: 2867.2, 60 sec: 3549.9, 300 sec: 3554.5). Total num frames: 3764224. Throughput: 0: 891.2. Samples: 939514. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:18:33,637][02885] Avg episode reward: [(0, '22.521')] | |
| [2024-07-24 19:18:34,278][05276] Updated weights for policy 0, policy_version 920 (0.0045) | |
| [2024-07-24 19:18:38,635][02885] Fps is (10 sec: 3688.6, 60 sec: 3686.4, 300 sec: 3554.5). Total num frames: 3784704. Throughput: 0: 896.5. Samples: 945702. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:18:38,637][02885] Avg episode reward: [(0, '21.319')] | |
| [2024-07-24 19:18:43,635][02885] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3568.4). Total num frames: 3805184. Throughput: 0: 945.7. Samples: 951892. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2024-07-24 19:18:43,647][02885] Avg episode reward: [(0, '22.520')] | |
| [2024-07-24 19:18:43,967][05276] Updated weights for policy 0, policy_version 930 (0.0026) | |
| [2024-07-24 19:18:48,641][02885] Fps is (10 sec: 3274.9, 60 sec: 3549.5, 300 sec: 3554.4). Total num frames: 3817472. Throughput: 0: 919.0. Samples: 953886. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2024-07-24 19:18:48,644][02885] Avg episode reward: [(0, '22.627')] | |
| [2024-07-24 19:18:53,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.2, 300 sec: 3554.5). Total num frames: 3837952. Throughput: 0: 884.8. Samples: 958954. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:18:53,637][02885] Avg episode reward: [(0, '22.734')] | |
| [2024-07-24 19:18:55,790][05276] Updated weights for policy 0, policy_version 940 (0.0025) | |
| [2024-07-24 19:18:58,635][02885] Fps is (10 sec: 4098.5, 60 sec: 3686.4, 300 sec: 3554.5). Total num frames: 3858432. Throughput: 0: 926.0. Samples: 965330. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:18:58,637][02885] Avg episode reward: [(0, '21.689')] | |
| [2024-07-24 19:19:03,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.2, 300 sec: 3568.4). Total num frames: 3874816. Throughput: 0: 932.5. Samples: 967958. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2024-07-24 19:19:03,638][02885] Avg episode reward: [(0, '21.756')] | |
| [2024-07-24 19:19:08,003][05276] Updated weights for policy 0, policy_version 950 (0.0023) | |
| [2024-07-24 19:19:08,635][02885] Fps is (10 sec: 3276.7, 60 sec: 3549.9, 300 sec: 3568.4). Total num frames: 3891200. Throughput: 0: 881.3. Samples: 972196. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2024-07-24 19:19:08,638][02885] Avg episode reward: [(0, '21.105')] | |
| [2024-07-24 19:19:13,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3554.5). Total num frames: 3911680. Throughput: 0: 913.5. Samples: 978652. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2024-07-24 19:19:13,639][02885] Avg episode reward: [(0, '19.860')] | |
| [2024-07-24 19:19:18,240][05276] Updated weights for policy 0, policy_version 960 (0.0017) | |
| [2024-07-24 19:19:18,635][02885] Fps is (10 sec: 4096.1, 60 sec: 3686.4, 300 sec: 3568.4). Total num frames: 3932160. Throughput: 0: 942.0. Samples: 981904. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:19:18,641][02885] Avg episode reward: [(0, '18.992')] | |
| [2024-07-24 19:19:23,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3481.6, 300 sec: 3568.4). Total num frames: 3944448. Throughput: 0: 897.5. Samples: 986088. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:19:23,638][02885] Avg episode reward: [(0, '19.343')] | |
| [2024-07-24 19:19:28,635][02885] Fps is (10 sec: 3276.8, 60 sec: 3618.5, 300 sec: 3568.4). Total num frames: 3964928. Throughput: 0: 886.3. Samples: 991774. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2024-07-24 19:19:28,637][02885] Avg episode reward: [(0, '18.882')] | |
| [2024-07-24 19:19:29,771][05276] Updated weights for policy 0, policy_version 970 (0.0041) | |
| [2024-07-24 19:19:33,635][02885] Fps is (10 sec: 4505.6, 60 sec: 3754.7, 300 sec: 3568.4). Total num frames: 3989504. Throughput: 0: 913.6. Samples: 994992. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2024-07-24 19:19:33,637][02885] Avg episode reward: [(0, '20.129')] | |
| [2024-07-24 19:19:38,635][02885] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3568.4). Total num frames: 4001792. Throughput: 0: 915.6. Samples: 1000158. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2024-07-24 19:19:38,641][02885] Avg episode reward: [(0, '19.368')] | |
| [2024-07-24 19:19:39,565][05263] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth... | |
| [2024-07-24 19:19:39,588][05263] Stopping Batcher_0... | |
| [2024-07-24 19:19:39,588][05263] Loop batcher_evt_loop terminating... | |
| [2024-07-24 19:19:39,588][02885] Component Batcher_0 stopped! | |
| [2024-07-24 19:19:39,645][02885] Component RolloutWorker_w7 stopped! | |
| [2024-07-24 19:19:39,653][05283] Stopping RolloutWorker_w7... | |
| [2024-07-24 19:19:39,653][05283] Loop rollout_proc7_evt_loop terminating... | |
| [2024-07-24 19:19:39,685][02885] Component RolloutWorker_w3 stopped! | |
| [2024-07-24 19:19:39,691][05277] Stopping RolloutWorker_w0... | |
| [2024-07-24 19:19:39,692][05277] Loop rollout_proc0_evt_loop terminating... | |
| [2024-07-24 19:19:39,692][02885] Component RolloutWorker_w0 stopped! | |
| [2024-07-24 19:19:39,689][05281] Stopping RolloutWorker_w3... | |
| [2024-07-24 19:19:39,702][05281] Loop rollout_proc3_evt_loop terminating... | |
| [2024-07-24 19:19:39,706][02885] Component RolloutWorker_w1 stopped! | |
| [2024-07-24 19:19:39,709][05279] Stopping RolloutWorker_w1... | |
| [2024-07-24 19:19:39,716][05279] Loop rollout_proc1_evt_loop terminating... | |
| [2024-07-24 19:19:39,719][02885] Component RolloutWorker_w5 stopped! | |
| [2024-07-24 19:19:39,724][05282] Stopping RolloutWorker_w5... | |
| [2024-07-24 19:19:39,725][05282] Loop rollout_proc5_evt_loop terminating... | |
| [2024-07-24 19:19:39,742][05280] Stopping RolloutWorker_w4... | |
| [2024-07-24 19:19:39,743][05280] Loop rollout_proc4_evt_loop terminating... | |
| [2024-07-24 19:19:39,742][02885] Component RolloutWorker_w4 stopped! | |
| [2024-07-24 19:19:39,755][05276] Weights refcount: 2 0 | |
| [2024-07-24 19:19:39,757][02885] Component InferenceWorker_p0-w0 stopped! | |
| [2024-07-24 19:19:39,757][05276] Stopping InferenceWorker_p0-w0... | |
| [2024-07-24 19:19:39,769][05276] Loop inference_proc0-0_evt_loop terminating... | |
| [2024-07-24 19:19:39,773][05263] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000808_3309568.pth | |
| [2024-07-24 19:19:39,799][05263] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth... | |
| [2024-07-24 19:19:39,819][05278] Stopping RolloutWorker_w2... | |
| [2024-07-24 19:19:39,820][05278] Loop rollout_proc2_evt_loop terminating... | |
| [2024-07-24 19:19:39,822][02885] Component RolloutWorker_w2 stopped! | |
| [2024-07-24 19:19:39,829][02885] Component RolloutWorker_w6 stopped! | |
| [2024-07-24 19:19:39,831][05284] Stopping RolloutWorker_w6... | |
| [2024-07-24 19:19:39,832][05284] Loop rollout_proc6_evt_loop terminating... | |
| [2024-07-24 19:19:40,163][02885] Component LearnerWorker_p0 stopped! | |
| [2024-07-24 19:19:40,168][02885] Waiting for process learner_proc0 to stop... | |
| [2024-07-24 19:19:40,173][05263] Stopping LearnerWorker_p0... | |
| [2024-07-24 19:19:40,173][05263] Loop learner_proc0_evt_loop terminating... | |
| [2024-07-24 19:19:41,578][02885] Waiting for process inference_proc0-0 to join... | |
| [2024-07-24 19:19:41,583][02885] Waiting for process rollout_proc0 to join... | |
| [2024-07-24 19:19:43,401][02885] Waiting for process rollout_proc1 to join... | |
| [2024-07-24 19:19:43,406][02885] Waiting for process rollout_proc2 to join... | |
| [2024-07-24 19:19:43,410][02885] Waiting for process rollout_proc3 to join... | |
| [2024-07-24 19:19:43,414][02885] Waiting for process rollout_proc4 to join... | |
| [2024-07-24 19:19:43,418][02885] Waiting for process rollout_proc5 to join... | |
| [2024-07-24 19:19:43,421][02885] Waiting for process rollout_proc6 to join... | |
| [2024-07-24 19:19:43,426][02885] Waiting for process rollout_proc7 to join... | |
| [2024-07-24 19:19:43,430][02885] Batcher 0 profile tree view: | |
| batching: 26.6392, releasing_batches: 0.0283 | |
| [2024-07-24 19:19:43,431][02885] InferenceWorker_p0-w0 profile tree view: | |
| wait_policy: 0.0000 | |
| wait_policy_total: 442.0098 | |
| update_model: 9.3368 | |
| weight_update: 0.0030 | |
| one_step: 0.0384 | |
| handle_policy_step: 629.0817 | |
| deserialize: 16.6894, stack: 3.3098, obs_to_device_normalize: 127.2725, forward: 334.8990, send_messages: 30.1582 | |
| prepare_outputs: 85.2321 | |
| to_cpu: 49.7712 | |
| [2024-07-24 19:19:43,433][02885] Learner 0 profile tree view: | |
| misc: 0.0056, prepare_batch: 14.4996 | |
| train: 73.8687 | |
| epoch_init: 0.0143, minibatch_init: 0.0120, losses_postprocess: 0.5615, kl_divergence: 0.6758, after_optimizer: 34.0619 | |
| calculate_losses: 26.7549 | |
| losses_init: 0.0045, forward_head: 1.2823, bptt_initial: 17.5806, tail: 1.1827, advantages_returns: 0.2552, losses: 4.0035 | |
| bptt: 2.1324 | |
| bptt_forward_core: 2.0421 | |
| update: 11.1515 | |
| clip: 0.9352 | |
| [2024-07-24 19:19:43,436][02885] RolloutWorker_w0 profile tree view: | |
| wait_for_trajectories: 0.3334, enqueue_policy_requests: 118.7394, env_step: 873.2198, overhead: 15.5168, complete_rollouts: 8.2662 | |
| save_policy_outputs: 21.5270 | |
| split_output_tensors: 8.7756 | |
| [2024-07-24 19:19:43,438][02885] RolloutWorker_w7 profile tree view: | |
| wait_for_trajectories: 0.3855, enqueue_policy_requests: 118.1929, env_step: 870.2624, overhead: 15.5810, complete_rollouts: 6.8537 | |
| save_policy_outputs: 21.5530 | |
| split_output_tensors: 8.4852 | |
| [2024-07-24 19:19:43,440][02885] Loop Runner_EvtLoop terminating... | |
| [2024-07-24 19:19:43,442][02885] Runner profile tree view: | |
| main_loop: 1150.4710 | |
| [2024-07-24 19:19:43,443][02885] Collected {0: 4005888}, FPS: 3482.0 | |
| [2024-07-24 19:30:16,511][02885] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json | |
| [2024-07-24 19:30:16,514][02885] Overriding arg 'num_workers' with value 1 passed from command line | |
| [2024-07-24 19:30:16,516][02885] Adding new argument 'no_render'=True that is not in the saved config file! | |
| [2024-07-24 19:30:16,518][02885] Adding new argument 'save_video'=True that is not in the saved config file! | |
| [2024-07-24 19:30:16,519][02885] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file! | |
| [2024-07-24 19:30:16,521][02885] Adding new argument 'video_name'=None that is not in the saved config file! | |
| [2024-07-24 19:30:16,523][02885] Adding new argument 'max_num_frames'=1000000000.0 that is not in the saved config file! | |
| [2024-07-24 19:30:16,526][02885] Adding new argument 'max_num_episodes'=10 that is not in the saved config file! | |
| [2024-07-24 19:30:16,527][02885] Adding new argument 'push_to_hub'=False that is not in the saved config file! | |
| [2024-07-24 19:30:16,528][02885] Adding new argument 'hf_repository'=None that is not in the saved config file! | |
| [2024-07-24 19:30:16,529][02885] Adding new argument 'policy_index'=0 that is not in the saved config file! | |
| [2024-07-24 19:30:16,530][02885] Adding new argument 'eval_deterministic'=False that is not in the saved config file! | |
| [2024-07-24 19:30:16,532][02885] Adding new argument 'train_script'=None that is not in the saved config file! | |
| [2024-07-24 19:30:16,533][02885] Adding new argument 'enjoy_script'=None that is not in the saved config file! | |
| [2024-07-24 19:30:16,534][02885] Using frameskip 1 and render_action_repeat=4 for evaluation | |
| [2024-07-24 19:30:16,572][02885] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2024-07-24 19:30:16,576][02885] RunningMeanStd input shape: (3, 72, 128) | |
| [2024-07-24 19:30:16,578][02885] RunningMeanStd input shape: (1,) | |
| [2024-07-24 19:30:16,595][02885] ConvEncoder: input_channels=3 | |
| [2024-07-24 19:30:16,699][02885] Conv encoder output size: 512 | |
| [2024-07-24 19:30:16,700][02885] Policy head output size: 512 | |
| [2024-07-24 19:30:16,878][02885] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth... | |
| [2024-07-24 19:30:17,696][02885] Num frames 100... | |
| [2024-07-24 19:30:17,872][02885] Num frames 200... | |
| [2024-07-24 19:30:18,060][02885] Num frames 300... | |
| [2024-07-24 19:30:18,249][02885] Num frames 400... | |
| [2024-07-24 19:30:18,446][02885] Num frames 500... | |
| [2024-07-24 19:30:18,626][02885] Num frames 600... | |
| [2024-07-24 19:30:18,804][02885] Num frames 700... | |
| [2024-07-24 19:30:18,986][02885] Num frames 800... | |
| [2024-07-24 19:30:19,165][02885] Num frames 900... | |
| [2024-07-24 19:30:19,359][02885] Num frames 1000... | |
| [2024-07-24 19:30:19,579][02885] Avg episode rewards: #0: 23.880, true rewards: #0: 10.880 | |
| [2024-07-24 19:30:19,581][02885] Avg episode reward: 23.880, avg true_objective: 10.880 | |
| [2024-07-24 19:30:19,610][02885] Num frames 1100... | |
| [2024-07-24 19:30:19,794][02885] Num frames 1200... | |
| [2024-07-24 19:30:19,983][02885] Num frames 1300... | |
| [2024-07-24 19:30:20,186][02885] Num frames 1400... | |
| [2024-07-24 19:30:20,355][02885] Num frames 1500... | |
| [2024-07-24 19:30:20,483][02885] Num frames 1600... | |
| [2024-07-24 19:30:20,609][02885] Num frames 1700... | |
| [2024-07-24 19:30:20,735][02885] Num frames 1800... | |
| [2024-07-24 19:30:20,802][02885] Avg episode rewards: #0: 19.040, true rewards: #0: 9.040 | |
| [2024-07-24 19:30:20,803][02885] Avg episode reward: 19.040, avg true_objective: 9.040 | |
| [2024-07-24 19:30:20,930][02885] Num frames 1900... | |
| [2024-07-24 19:30:21,066][02885] Num frames 2000... | |
| [2024-07-24 19:30:21,194][02885] Num frames 2100... | |
| [2024-07-24 19:30:21,321][02885] Num frames 2200... | |
| [2024-07-24 19:30:21,461][02885] Num frames 2300... | |
| [2024-07-24 19:30:21,585][02885] Num frames 2400... | |
| [2024-07-24 19:30:21,710][02885] Num frames 2500... | |
| [2024-07-24 19:30:21,843][02885] Num frames 2600... | |
| [2024-07-24 19:30:21,983][02885] Num frames 2700... | |
| [2024-07-24 19:30:22,112][02885] Num frames 2800... | |
| [2024-07-24 19:30:22,255][02885] Avg episode rewards: #0: 20.557, true rewards: #0: 9.557 | |
| [2024-07-24 19:30:22,258][02885] Avg episode reward: 20.557, avg true_objective: 9.557 | |
| [2024-07-24 19:30:22,302][02885] Num frames 2900... | |
| [2024-07-24 19:30:22,440][02885] Num frames 3000... | |
| [2024-07-24 19:30:22,572][02885] Num frames 3100... | |
| [2024-07-24 19:30:22,703][02885] Num frames 3200... | |
| [2024-07-24 19:30:22,834][02885] Num frames 3300... | |
| [2024-07-24 19:30:22,971][02885] Num frames 3400... | |
| [2024-07-24 19:30:23,101][02885] Num frames 3500... | |
| [2024-07-24 19:30:23,232][02885] Num frames 3600... | |
| [2024-07-24 19:30:23,360][02885] Num frames 3700... | |
| [2024-07-24 19:30:23,502][02885] Num frames 3800... | |
| [2024-07-24 19:30:23,630][02885] Num frames 3900... | |
| [2024-07-24 19:30:23,759][02885] Num frames 4000... | |
| [2024-07-24 19:30:23,896][02885] Num frames 4100... | |
| [2024-07-24 19:30:24,027][02885] Num frames 4200... | |
| [2024-07-24 19:30:24,157][02885] Num frames 4300... | |
| [2024-07-24 19:30:24,292][02885] Num frames 4400... | |
| [2024-07-24 19:30:24,422][02885] Num frames 4500... | |
| [2024-07-24 19:30:24,561][02885] Num frames 4600... | |
| [2024-07-24 19:30:24,688][02885] Num frames 4700... | |
| [2024-07-24 19:30:24,852][02885] Avg episode rewards: #0: 26.717, true rewards: #0: 11.967 | |
| [2024-07-24 19:30:24,854][02885] Avg episode reward: 26.717, avg true_objective: 11.967 | |
| [2024-07-24 19:30:24,873][02885] Num frames 4800... | |
| [2024-07-24 19:30:25,007][02885] Num frames 4900... | |
| [2024-07-24 19:30:25,134][02885] Num frames 5000... | |
| [2024-07-24 19:30:25,269][02885] Num frames 5100... | |
| [2024-07-24 19:30:25,401][02885] Num frames 5200... | |
| [2024-07-24 19:30:25,538][02885] Num frames 5300... | |
| [2024-07-24 19:30:25,664][02885] Num frames 5400... | |
| [2024-07-24 19:30:25,791][02885] Num frames 5500... | |
| [2024-07-24 19:30:25,920][02885] Num frames 5600... | |
| [2024-07-24 19:30:26,044][02885] Num frames 5700... | |
| [2024-07-24 19:30:26,146][02885] Avg episode rewards: #0: 26.074, true rewards: #0: 11.474 | |
| [2024-07-24 19:30:26,148][02885] Avg episode reward: 26.074, avg true_objective: 11.474 | |
| [2024-07-24 19:30:26,226][02885] Num frames 5800... | |
| [2024-07-24 19:30:26,386][02885] Num frames 5900... | |
| [2024-07-24 19:30:26,518][02885] Num frames 6000... | |
| [2024-07-24 19:30:26,645][02885] Num frames 6100... | |
| [2024-07-24 19:30:26,770][02885] Num frames 6200... | |
| [2024-07-24 19:30:26,887][02885] Avg episode rewards: #0: 22.915, true rewards: #0: 10.415 | |
| [2024-07-24 19:30:26,889][02885] Avg episode reward: 22.915, avg true_objective: 10.415 | |
| [2024-07-24 19:30:26,961][02885] Num frames 6300... | |
| [2024-07-24 19:30:27,093][02885] Num frames 6400... | |
| [2024-07-24 19:30:27,218][02885] Num frames 6500... | |
| [2024-07-24 19:30:27,344][02885] Num frames 6600... | |
| [2024-07-24 19:30:27,478][02885] Num frames 6700... | |
| [2024-07-24 19:30:27,616][02885] Num frames 6800... | |
| [2024-07-24 19:30:27,742][02885] Num frames 6900... | |
| [2024-07-24 19:30:27,903][02885] Avg episode rewards: #0: 21.550, true rewards: #0: 9.979 | |
| [2024-07-24 19:30:27,906][02885] Avg episode reward: 21.550, avg true_objective: 9.979 | |
| [2024-07-24 19:30:27,929][02885] Num frames 7000... | |
| [2024-07-24 19:30:28,056][02885] Num frames 7100... | |
| [2024-07-24 19:30:28,184][02885] Num frames 7200... | |
| [2024-07-24 19:30:28,309][02885] Num frames 7300... | |
| [2024-07-24 19:30:28,438][02885] Num frames 7400... | |
| [2024-07-24 19:30:28,496][02885] Avg episode rewards: #0: 19.626, true rewards: #0: 9.251 | |
| [2024-07-24 19:30:28,498][02885] Avg episode reward: 19.626, avg true_objective: 9.251 | |
| [2024-07-24 19:30:28,641][02885] Num frames 7500... | |
| [2024-07-24 19:30:28,775][02885] Num frames 7600... | |
| [2024-07-24 19:30:28,902][02885] Num frames 7700... | |
| [2024-07-24 19:30:29,031][02885] Num frames 7800... | |
| [2024-07-24 19:30:29,158][02885] Num frames 7900... | |
| [2024-07-24 19:30:29,286][02885] Num frames 8000... | |
| [2024-07-24 19:30:29,415][02885] Num frames 8100... | |
| [2024-07-24 19:30:29,480][02885] Avg episode rewards: #0: 18.894, true rewards: #0: 9.006 | |
| [2024-07-24 19:30:29,483][02885] Avg episode reward: 18.894, avg true_objective: 9.006 | |
| [2024-07-24 19:30:29,613][02885] Num frames 8200... | |
| [2024-07-24 19:30:29,741][02885] Num frames 8300... | |
| [2024-07-24 19:30:29,868][02885] Num frames 8400... | |
| [2024-07-24 19:30:30,003][02885] Num frames 8500... | |
| [2024-07-24 19:30:30,132][02885] Num frames 8600... | |
| [2024-07-24 19:30:30,255][02885] Num frames 8700... | |
| [2024-07-24 19:30:30,435][02885] Num frames 8800... | |
| [2024-07-24 19:30:30,621][02885] Num frames 8900... | |
| [2024-07-24 19:30:30,809][02885] Num frames 9000... | |
| [2024-07-24 19:30:30,930][02885] Avg episode rewards: #0: 19.033, true rewards: #0: 9.033 | |
| [2024-07-24 19:30:30,932][02885] Avg episode reward: 19.033, avg true_objective: 9.033 | |
| [2024-07-24 19:31:26,493][02885] Replay video saved to /content/train_dir/default_experiment/replay.mp4! | |
| [2024-07-24 19:33:00,770][02885] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json | |
| [2024-07-24 19:33:00,772][02885] Overriding arg 'num_workers' with value 1 passed from command line | |
| [2024-07-24 19:33:00,774][02885] Adding new argument 'no_render'=True that is not in the saved config file! | |
| [2024-07-24 19:33:00,776][02885] Adding new argument 'save_video'=True that is not in the saved config file! | |
| [2024-07-24 19:33:00,777][02885] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file! | |
| [2024-07-24 19:33:00,779][02885] Adding new argument 'video_name'=None that is not in the saved config file! | |
| [2024-07-24 19:33:00,780][02885] Adding new argument 'max_num_frames'=100000 that is not in the saved config file! | |
| [2024-07-24 19:33:00,782][02885] Adding new argument 'max_num_episodes'=10 that is not in the saved config file! | |
| [2024-07-24 19:33:00,783][02885] Adding new argument 'push_to_hub'=True that is not in the saved config file! | |
| [2024-07-24 19:33:00,784][02885] Adding new argument 'hf_repository'='dergky1/rl_course_vizdoom_health_gathering_supreme' that is not in the saved config file! | |
| [2024-07-24 19:33:00,785][02885] Adding new argument 'policy_index'=0 that is not in the saved config file! | |
| [2024-07-24 19:33:00,786][02885] Adding new argument 'eval_deterministic'=False that is not in the saved config file! | |
| [2024-07-24 19:33:00,788][02885] Adding new argument 'train_script'=None that is not in the saved config file! | |
| [2024-07-24 19:33:00,789][02885] Adding new argument 'enjoy_script'=None that is not in the saved config file! | |
| [2024-07-24 19:33:00,790][02885] Using frameskip 1 and render_action_repeat=4 for evaluation | |
| [2024-07-24 19:33:00,821][02885] RunningMeanStd input shape: (3, 72, 128) | |
| [2024-07-24 19:33:00,824][02885] RunningMeanStd input shape: (1,) | |
| [2024-07-24 19:33:00,837][02885] ConvEncoder: input_channels=3 | |
| [2024-07-24 19:33:00,876][02885] Conv encoder output size: 512 | |
| [2024-07-24 19:33:00,877][02885] Policy head output size: 512 | |
| [2024-07-24 19:33:00,899][02885] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth... | |
| [2024-07-24 19:33:01,348][02885] Num frames 100... | |
| [2024-07-24 19:33:01,479][02885] Num frames 200... | |
| [2024-07-24 19:33:01,609][02885] Num frames 300... | |
| [2024-07-24 19:33:01,736][02885] Num frames 400... | |
| [2024-07-24 19:33:01,863][02885] Num frames 500... | |
| [2024-07-24 19:33:02,000][02885] Num frames 600... | |
| [2024-07-24 19:33:02,135][02885] Num frames 700... | |
| [2024-07-24 19:33:02,270][02885] Num frames 800... | |
| [2024-07-24 19:33:02,402][02885] Num frames 900... | |
| [2024-07-24 19:33:02,528][02885] Num frames 1000... | |
| [2024-07-24 19:33:02,655][02885] Num frames 1100... | |
| [2024-07-24 19:33:02,781][02885] Num frames 1200... | |
| [2024-07-24 19:33:02,921][02885] Num frames 1300... | |
| [2024-07-24 19:33:03,053][02885] Num frames 1400... | |
| [2024-07-24 19:33:03,189][02885] Num frames 1500... | |
| [2024-07-24 19:33:03,338][02885] Num frames 1600... | |
| [2024-07-24 19:33:03,467][02885] Num frames 1700... | |
| [2024-07-24 19:33:03,559][02885] Avg episode rewards: #0: 45.279, true rewards: #0: 17.280 | |
| [2024-07-24 19:33:03,562][02885] Avg episode reward: 45.279, avg true_objective: 17.280 | |
| [2024-07-24 19:33:03,656][02885] Num frames 1800... | |
| [2024-07-24 19:33:03,785][02885] Num frames 1900... | |
| [2024-07-24 19:33:03,919][02885] Num frames 2000... | |
| [2024-07-24 19:33:04,049][02885] Num frames 2100... | |
| [2024-07-24 19:33:04,180][02885] Num frames 2200... | |
| [2024-07-24 19:33:04,316][02885] Num frames 2300... | |
| [2024-07-24 19:33:04,447][02885] Num frames 2400... | |
| [2024-07-24 19:33:04,575][02885] Num frames 2500... | |
| [2024-07-24 19:33:04,706][02885] Num frames 2600... | |
| [2024-07-24 19:33:04,832][02885] Num frames 2700... | |
| [2024-07-24 19:33:05,004][02885] Avg episode rewards: #0: 35.920, true rewards: #0: 13.920 | |
| [2024-07-24 19:33:05,006][02885] Avg episode reward: 35.920, avg true_objective: 13.920 | |
| [2024-07-24 19:33:05,031][02885] Num frames 2800... | |
| [2024-07-24 19:33:05,160][02885] Num frames 2900... | |
| [2024-07-24 19:33:05,298][02885] Num frames 3000... | |
| [2024-07-24 19:33:05,427][02885] Num frames 3100... | |
| [2024-07-24 19:33:05,554][02885] Num frames 3200... | |
| [2024-07-24 19:33:05,680][02885] Num frames 3300... | |
| [2024-07-24 19:33:05,808][02885] Num frames 3400... | |
| [2024-07-24 19:33:05,948][02885] Num frames 3500... | |
| [2024-07-24 19:33:06,077][02885] Num frames 3600... | |
| [2024-07-24 19:33:06,212][02885] Num frames 3700... | |
| [2024-07-24 19:33:06,346][02885] Num frames 3800... | |
| [2024-07-24 19:33:06,474][02885] Num frames 3900... | |
| [2024-07-24 19:33:06,604][02885] Num frames 4000... | |
| [2024-07-24 19:33:06,717][02885] Avg episode rewards: #0: 33.813, true rewards: #0: 13.480 | |
| [2024-07-24 19:33:06,718][02885] Avg episode reward: 33.813, avg true_objective: 13.480 | |
| [2024-07-24 19:33:06,791][02885] Num frames 4100... | |
| [2024-07-24 19:33:06,952][02885] Num frames 4200... | |
| [2024-07-24 19:33:07,147][02885] Num frames 4300... | |
| [2024-07-24 19:33:07,342][02885] Num frames 4400... | |
| [2024-07-24 19:33:07,528][02885] Num frames 4500... | |
| [2024-07-24 19:33:07,710][02885] Num frames 4600... | |
| [2024-07-24 19:33:07,889][02885] Num frames 4700... | |
| [2024-07-24 19:33:08,081][02885] Num frames 4800... | |
| [2024-07-24 19:33:08,268][02885] Num frames 4900... | |
| [2024-07-24 19:33:08,469][02885] Num frames 5000... | |
| [2024-07-24 19:33:08,659][02885] Num frames 5100... | |
| [2024-07-24 19:33:08,848][02885] Num frames 5200... | |
| [2024-07-24 19:33:09,025][02885] Avg episode rewards: #0: 31.400, true rewards: #0: 13.150 | |
| [2024-07-24 19:33:09,028][02885] Avg episode reward: 31.400, avg true_objective: 13.150 | |
| [2024-07-24 19:33:09,114][02885] Num frames 5300... | |
| [2024-07-24 19:33:09,305][02885] Num frames 5400... | |
| [2024-07-24 19:33:09,452][02885] Num frames 5500... | |
| [2024-07-24 19:33:09,578][02885] Num frames 5600... | |
| [2024-07-24 19:33:09,705][02885] Num frames 5700... | |
| [2024-07-24 19:33:09,833][02885] Num frames 5800... | |
| [2024-07-24 19:33:09,987][02885] Avg episode rewards: #0: 27.136, true rewards: #0: 11.736 | |
| [2024-07-24 19:33:09,990][02885] Avg episode reward: 27.136, avg true_objective: 11.736 | |
| [2024-07-24 19:33:10,035][02885] Num frames 5900... | |
| [2024-07-24 19:33:10,168][02885] Num frames 6000... | |
| [2024-07-24 19:33:10,295][02885] Num frames 6100... | |
| [2024-07-24 19:33:10,423][02885] Num frames 6200... | |
| [2024-07-24 19:33:10,564][02885] Num frames 6300... | |
| [2024-07-24 19:33:10,690][02885] Num frames 6400... | |
| [2024-07-24 19:33:10,813][02885] Num frames 6500... | |
| [2024-07-24 19:33:10,946][02885] Num frames 6600... | |
| [2024-07-24 19:33:11,072][02885] Num frames 6700... | |
| [2024-07-24 19:33:11,204][02885] Num frames 6800... | |
| [2024-07-24 19:33:11,331][02885] Num frames 6900... | |
| [2024-07-24 19:33:11,459][02885] Num frames 7000... | |
| [2024-07-24 19:33:11,594][02885] Num frames 7100... | |
| [2024-07-24 19:33:11,724][02885] Num frames 7200... | |
| [2024-07-24 19:33:11,851][02885] Num frames 7300... | |
| [2024-07-24 19:33:11,988][02885] Num frames 7400... | |
| [2024-07-24 19:33:12,118][02885] Num frames 7500... | |
| [2024-07-24 19:33:12,246][02885] Num frames 7600... | |
| [2024-07-24 19:33:12,377][02885] Num frames 7700... | |
| [2024-07-24 19:33:12,513][02885] Num frames 7800... | |
| [2024-07-24 19:33:12,644][02885] Num frames 7900... | |
| [2024-07-24 19:33:12,768][02885] Avg episode rewards: #0: 32.256, true rewards: #0: 13.257 | |
| [2024-07-24 19:33:12,770][02885] Avg episode reward: 32.256, avg true_objective: 13.257 | |
| [2024-07-24 19:33:12,829][02885] Num frames 8000... | |
| [2024-07-24 19:33:12,960][02885] Num frames 8100... | |
| [2024-07-24 19:33:13,084][02885] Num frames 8200... | |
| [2024-07-24 19:33:13,211][02885] Num frames 8300... | |
| [2024-07-24 19:33:13,341][02885] Num frames 8400... | |
| [2024-07-24 19:33:13,401][02885] Avg episode rewards: #0: 28.431, true rewards: #0: 12.003 | |
| [2024-07-24 19:33:13,403][02885] Avg episode reward: 28.431, avg true_objective: 12.003 | |
| [2024-07-24 19:33:13,530][02885] Num frames 8500... | |
| [2024-07-24 19:33:13,661][02885] Num frames 8600... | |
| [2024-07-24 19:33:13,786][02885] Num frames 8700... | |
| [2024-07-24 19:33:13,918][02885] Num frames 8800... | |
| [2024-07-24 19:33:14,052][02885] Num frames 8900... | |
| [2024-07-24 19:33:14,129][02885] Avg episode rewards: #0: 26.267, true rewards: #0: 11.142 | |
| [2024-07-24 19:33:14,131][02885] Avg episode reward: 26.267, avg true_objective: 11.142 | |
| [2024-07-24 19:33:14,242][02885] Num frames 9000... | |
| [2024-07-24 19:33:14,369][02885] Num frames 9100... | |
| [2024-07-24 19:33:14,503][02885] Num frames 9200... | |
| [2024-07-24 19:33:14,642][02885] Num frames 9300... | |
| [2024-07-24 19:33:14,770][02885] Num frames 9400... | |
| [2024-07-24 19:33:14,906][02885] Num frames 9500... | |
| [2024-07-24 19:33:14,994][02885] Avg episode rewards: #0: 24.691, true rewards: #0: 10.580 | |
| [2024-07-24 19:33:14,996][02885] Avg episode reward: 24.691, avg true_objective: 10.580 | |
| [2024-07-24 19:33:15,097][02885] Num frames 9600... | |
| [2024-07-24 19:33:15,231][02885] Num frames 9700... | |
| [2024-07-24 19:33:15,358][02885] Num frames 9800... | |
| [2024-07-24 19:33:15,489][02885] Num frames 9900... | |
| [2024-07-24 19:33:15,594][02885] Avg episode rewards: #0: 22.838, true rewards: #0: 9.938 | |
| [2024-07-24 19:33:15,596][02885] Avg episode reward: 22.838, avg true_objective: 9.938 | |
| [2024-07-24 19:34:17,803][02885] Replay video saved to /content/train_dir/default_experiment/replay.mp4! | |
| [2024-07-24 19:34:23,227][02885] The model has been pushed to https://huggingface.co/dergky1/rl_course_vizdoom_health_gathering_supreme | |
| [2024-07-24 19:42:02,699][02885] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json | |
| [2024-07-24 19:42:02,704][02885] Overriding arg 'num_workers' with value 1 passed from command line | |
| [2024-07-24 19:42:02,706][02885] Adding new argument 'no_render'=True that is not in the saved config file! | |
| [2024-07-24 19:42:02,707][02885] Adding new argument 'save_video'=True that is not in the saved config file! | |
| [2024-07-24 19:42:02,709][02885] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file! | |
| [2024-07-24 19:42:02,714][02885] Adding new argument 'video_name'=None that is not in the saved config file! | |
| [2024-07-24 19:42:02,715][02885] Adding new argument 'max_num_frames'=100000 that is not in the saved config file! | |
| [2024-07-24 19:42:02,717][02885] Adding new argument 'max_num_episodes'=10 that is not in the saved config file! | |
| [2024-07-24 19:42:02,718][02885] Adding new argument 'push_to_hub'=True that is not in the saved config file! | |
| [2024-07-24 19:42:02,720][02885] Adding new argument 'hf_repository'='dergky1/rl_course_vizdoom_health_gathering_supreme' that is not in the saved config file! | |
| [2024-07-24 19:42:02,724][02885] Adding new argument 'policy_index'=0 that is not in the saved config file! | |
| [2024-07-24 19:42:02,725][02885] Adding new argument 'eval_deterministic'=False that is not in the saved config file! | |
| [2024-07-24 19:42:02,730][02885] Adding new argument 'train_script'=None that is not in the saved config file! | |
| [2024-07-24 19:42:02,734][02885] Adding new argument 'enjoy_script'=None that is not in the saved config file! | |
| [2024-07-24 19:42:02,736][02885] Using frameskip 1 and render_action_repeat=4 for evaluation | |
| [2024-07-24 19:42:02,779][02885] RunningMeanStd input shape: (3, 72, 128) | |
| [2024-07-24 19:42:02,782][02885] RunningMeanStd input shape: (1,) | |
| [2024-07-24 19:42:02,801][02885] ConvEncoder: input_channels=3 | |
| [2024-07-24 19:42:02,865][02885] Conv encoder output size: 512 | |
| [2024-07-24 19:42:02,868][02885] Policy head output size: 512 | |
| [2024-07-24 19:42:02,903][02885] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth... | |
| [2024-07-24 19:42:03,570][02885] Num frames 100... | |
| [2024-07-24 19:42:03,752][02885] Num frames 200... | |
| [2024-07-24 19:42:03,929][02885] Num frames 300... | |
| [2024-07-24 19:42:04,126][02885] Num frames 400... | |
| [2024-07-24 19:42:04,273][02885] Avg episode rewards: #0: 5.480, true rewards: #0: 4.480 | |
| [2024-07-24 19:42:04,275][02885] Avg episode reward: 5.480, avg true_objective: 4.480 | |
| [2024-07-24 19:42:04,372][02885] Num frames 500... | |
| [2024-07-24 19:42:04,563][02885] Num frames 600... | |
| [2024-07-24 19:42:04,751][02885] Num frames 700... | |
| [2024-07-24 19:42:04,957][02885] Num frames 800... | |
| [2024-07-24 19:42:05,188][02885] Num frames 900... | |
| [2024-07-24 19:42:05,343][02885] Num frames 1000... | |
| [2024-07-24 19:42:05,469][02885] Num frames 1100... | |
| [2024-07-24 19:42:05,593][02885] Num frames 1200... | |
| [2024-07-24 19:42:05,767][02885] Avg episode rewards: #0: 10.950, true rewards: #0: 6.450 | |
| [2024-07-24 19:42:05,769][02885] Avg episode reward: 10.950, avg true_objective: 6.450 | |
| [2024-07-24 19:42:05,785][02885] Num frames 1300... | |
| [2024-07-24 19:42:05,922][02885] Num frames 1400... | |
| [2024-07-24 19:42:06,060][02885] Num frames 1500... | |
| [2024-07-24 19:42:06,187][02885] Num frames 1600... | |
| [2024-07-24 19:42:06,315][02885] Num frames 1700... | |
| [2024-07-24 19:42:06,440][02885] Num frames 1800... | |
| [2024-07-24 19:42:06,578][02885] Avg episode rewards: #0: 10.553, true rewards: #0: 6.220 | |
| [2024-07-24 19:42:06,580][02885] Avg episode reward: 10.553, avg true_objective: 6.220 | |
| [2024-07-24 19:42:06,628][02885] Num frames 1900... | |
| [2024-07-24 19:42:06,757][02885] Num frames 2000... | |
| [2024-07-24 19:42:06,883][02885] Num frames 2100... | |
| [2024-07-24 19:42:07,024][02885] Num frames 2200... | |
| [2024-07-24 19:42:07,165][02885] Num frames 2300... | |
| [2024-07-24 19:42:07,240][02885] Avg episode rewards: #0: 9.285, true rewards: #0: 5.785 | |
| [2024-07-24 19:42:07,242][02885] Avg episode reward: 9.285, avg true_objective: 5.785 | |
| [2024-07-24 19:42:07,353][02885] Num frames 2400... | |
| [2024-07-24 19:42:07,483][02885] Num frames 2500... | |
| [2024-07-24 19:42:07,606][02885] Num frames 2600... | |
| [2024-07-24 19:42:07,736][02885] Num frames 2700... | |
| [2024-07-24 19:42:07,863][02885] Num frames 2800... | |
| [2024-07-24 19:42:08,001][02885] Num frames 2900... | |
| [2024-07-24 19:42:08,140][02885] Num frames 3000... | |
| [2024-07-24 19:42:08,261][02885] Avg episode rewards: #0: 9.900, true rewards: #0: 6.100 | |
| [2024-07-24 19:42:08,264][02885] Avg episode reward: 9.900, avg true_objective: 6.100 | |
| [2024-07-24 19:42:08,331][02885] Num frames 3100... | |
| [2024-07-24 19:42:08,460][02885] Num frames 3200... | |
| [2024-07-24 19:42:08,585][02885] Num frames 3300... | |
| [2024-07-24 19:42:08,716][02885] Num frames 3400... | |
| [2024-07-24 19:42:08,844][02885] Num frames 3500... | |
| [2024-07-24 19:42:09,015][02885] Avg episode rewards: #0: 9.805, true rewards: #0: 5.972 | |
| [2024-07-24 19:42:09,017][02885] Avg episode reward: 9.805, avg true_objective: 5.972 | |
| [2024-07-24 19:42:09,042][02885] Num frames 3600... | |
| [2024-07-24 19:42:09,178][02885] Num frames 3700... | |
| [2024-07-24 19:42:09,304][02885] Num frames 3800... | |
| [2024-07-24 19:42:09,429][02885] Num frames 3900... | |
| [2024-07-24 19:42:09,557][02885] Num frames 4000... | |
| [2024-07-24 19:42:09,683][02885] Num frames 4100... | |
| [2024-07-24 19:42:09,808][02885] Num frames 4200... | |
| [2024-07-24 19:42:09,892][02885] Avg episode rewards: #0: 9.889, true rewards: #0: 6.031 | |
| [2024-07-24 19:42:09,898][02885] Avg episode reward: 9.889, avg true_objective: 6.031 | |
| [2024-07-24 19:42:10,010][02885] Num frames 4300... | |
| [2024-07-24 19:42:10,151][02885] Num frames 4400... | |
| [2024-07-24 19:42:10,281][02885] Num frames 4500... | |
| [2024-07-24 19:42:10,407][02885] Num frames 4600... | |
| [2024-07-24 19:42:10,532][02885] Num frames 4700... | |
| [2024-07-24 19:42:10,664][02885] Num frames 4800... | |
| [2024-07-24 19:42:10,796][02885] Avg episode rewards: #0: 9.828, true rewards: #0: 6.077 | |
| [2024-07-24 19:42:10,798][02885] Avg episode reward: 9.828, avg true_objective: 6.077 | |
| [2024-07-24 19:42:10,849][02885] Num frames 4900... | |
| [2024-07-24 19:42:10,982][02885] Num frames 5000... | |
| [2024-07-24 19:42:11,111][02885] Num frames 5100... | |
| [2024-07-24 19:42:11,246][02885] Num frames 5200... | |
| [2024-07-24 19:42:11,371][02885] Num frames 5300... | |
| [2024-07-24 19:42:11,500][02885] Num frames 5400... | |
| [2024-07-24 19:42:11,626][02885] Num frames 5500... | |
| [2024-07-24 19:42:11,754][02885] Num frames 5600... | |
| [2024-07-24 19:42:11,883][02885] Num frames 5700... | |
| [2024-07-24 19:42:12,023][02885] Avg episode rewards: #0: 10.953, true rewards: #0: 6.398 | |
| [2024-07-24 19:42:12,025][02885] Avg episode reward: 10.953, avg true_objective: 6.398 | |
| [2024-07-24 19:42:12,082][02885] Num frames 5800... | |
| [2024-07-24 19:42:12,220][02885] Num frames 5900... | |
| [2024-07-24 19:42:12,345][02885] Num frames 6000... | |
| [2024-07-24 19:42:12,471][02885] Num frames 6100... | |
| [2024-07-24 19:42:12,601][02885] Num frames 6200... | |
| [2024-07-24 19:42:12,729][02885] Num frames 6300... | |
| [2024-07-24 19:42:12,868][02885] Num frames 6400... | |
| [2024-07-24 19:42:12,973][02885] Avg episode rewards: #0: 10.930, true rewards: #0: 6.430 | |
| [2024-07-24 19:42:12,976][02885] Avg episode reward: 10.930, avg true_objective: 6.430 | |
| [2024-07-24 19:42:51,453][02885] Replay video saved to /content/train_dir/default_experiment/replay.mp4! | |