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poca-SoccerTwos-towards-AGI

Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-SoccerTwos
Model card Files Metrics Community
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  1. .DS_Store +3 -0
  2. .gitattributes +1 -0
  3. README.md +31 -0
  4. SoccerTwos.onnx +3 -0
  5. SoccerTwos/SoccerTwos-13499895.onnx +3 -0
  6. SoccerTwos/SoccerTwos-13499895.pt +3 -0
  7. SoccerTwos/SoccerTwos-13499988.onnx +3 -0
  8. SoccerTwos/SoccerTwos-13499988.pt +3 -0
  9. SoccerTwos/SoccerTwos-13999899.onnx +3 -0
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  12. SoccerTwos/SoccerTwos-13999952.pt +3 -0
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  14. SoccerTwos/SoccerTwos-14499857.pt +3 -0
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  16. SoccerTwos/SoccerTwos-14499962.pt +3 -0
  17. SoccerTwos/SoccerTwos-14999843.onnx +3 -0
  18. SoccerTwos/SoccerTwos-14999843.pt +3 -0
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  21. SoccerTwos/SoccerTwos-15000016.onnx +3 -0
  22. SoccerTwos/SoccerTwos-15000016.pt +3 -0
  23. SoccerTwos/SoccerTwos-15000042.onnx +3 -0
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  27. SoccerTwos/SoccerTwos-41999996.onnx +3 -0
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  29. SoccerTwos/SoccerTwos-42499794.onnx +3 -0
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  31. SoccerTwos/SoccerTwos-42999942.onnx +3 -0
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  33. SoccerTwos/SoccerTwos-43499898.onnx +3 -0
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  35. SoccerTwos/SoccerTwos-5499856.onnx +3 -0
  36. SoccerTwos/SoccerTwos-5499856.pt +3 -0
  37. SoccerTwos/SoccerTwos-5999754.onnx +3 -0
  38. SoccerTwos/SoccerTwos-5999754.pt +3 -0
  39. SoccerTwos/SoccerTwos-6499512.onnx +3 -0
  40. SoccerTwos/SoccerTwos-6499512.pt +3 -0
  41. SoccerTwos/SoccerTwos-6999684.onnx +3 -0
  42. SoccerTwos/SoccerTwos-6999684.pt +3 -0
  43. SoccerTwos/SoccerTwos-7000684.onnx +3 -0
  44. SoccerTwos/SoccerTwos-7000684.pt +3 -0
  45. SoccerTwos/checkpoint.pt +3 -0
  46. SoccerTwos/events.out.tfevents.1675861058.Jasons-iMac.988.0 +3 -0
  47. config.json +1 -0
  48. configuration.yaml +82 -0
  49. run_logs/Player-0.log +777 -0
  50. run_logs/timers.json +368 -0
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README.md ADDED
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+
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+ ---
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+ tags:
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+ - unity-ml-agents
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+ - ml-agents
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+ - deep-reinforcement-learning
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+ - reinforcement-learning
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+ - ML-Agents-SoccerTwos
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+ library_name: ml-agents
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+ ---
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+
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+ # **poca** Agent playing **SoccerTwos**
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+ This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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+
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+ ## Usage (with ML-Agents)
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+ The Documentation: https://github.com/huggingface/ml-agents#get-started
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+ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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+
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+
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+ ### Resume the training
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+ ```
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+ mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
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+ ```
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+ ### Watch your Agent play
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+ You can watch your agent **playing directly in your browser:**.
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+
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+ 1. Go to https://huggingface.co/spaces/unity/ML-Agents-SoccerTwos
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+ 2. Step 1: Write your model_id: jason1i/poca-SoccerTwos-towards-AGI
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+ 3. Step 2: Select your *.nn /*.onnx file
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+ 4. Click on Watch the agent play 👀
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+
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+ default_settings: null
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+ behaviors:
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+ SoccerTwos:
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+ trainer_type: poca
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+ hyperparameters:
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+ batch_size: 2048
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+ buffer_size: 20480
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+ learning_rate: 0.0003
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+ beta: 0.005
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+ epsilon: 0.2
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+ lambd: 0.95
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+ num_epoch: 3
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+ learning_rate_schedule: constant
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+ beta_schedule: constant
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+ checkpoint_interval: 500000
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+ normalize: false
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+ hidden_units: 512
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+ num_layers: 2
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+ vis_encode_type: simple
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+ memory: null
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+ goal_conditioning_type: hyper
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+ deterministic: false
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