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poca-SoccerTwos-Vinicius

Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-SoccerTwos
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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-1000028.onnx +3 -0
  6. SoccerTwos/SoccerTwos-1000028.pt +3 -0
  7. SoccerTwos/SoccerTwos-1164.onnx +3 -0
  8. SoccerTwos/SoccerTwos-1164.pt +3 -0
  9. SoccerTwos/SoccerTwos-1287604.onnx +3 -0
  10. SoccerTwos/SoccerTwos-1287604.pt +3 -0
  11. SoccerTwos/SoccerTwos-18499940.onnx +3 -0
  12. SoccerTwos/SoccerTwos-18499940.pt +3 -0
  13. SoccerTwos/SoccerTwos-18999955.onnx +3 -0
  14. SoccerTwos/SoccerTwos-18999955.pt +3 -0
  15. SoccerTwos/SoccerTwos-19499963.onnx +3 -0
  16. SoccerTwos/SoccerTwos-19499963.pt +3 -0
  17. SoccerTwos/SoccerTwos-1999948.onnx +3 -0
  18. SoccerTwos/SoccerTwos-1999948.pt +3 -0
  19. SoccerTwos/SoccerTwos-19999996.onnx +3 -0
  20. SoccerTwos/SoccerTwos-19999996.pt +3 -0
  21. SoccerTwos/SoccerTwos-20000054.onnx +3 -0
  22. SoccerTwos/SoccerTwos-20000054.pt +3 -0
  23. SoccerTwos/SoccerTwos-2499948.onnx +3 -0
  24. SoccerTwos/SoccerTwos-2499948.pt +3 -0
  25. SoccerTwos/SoccerTwos-2999995.onnx +3 -0
  26. SoccerTwos/SoccerTwos-2999995.pt +3 -0
  27. SoccerTwos/SoccerTwos-3499986.onnx +3 -0
  28. SoccerTwos/SoccerTwos-3499986.pt +3 -0
  29. SoccerTwos/SoccerTwos-3999987.onnx +3 -0
  30. SoccerTwos/SoccerTwos-3999987.pt +3 -0
  31. SoccerTwos/SoccerTwos-3999999.onnx +3 -0
  32. SoccerTwos/SoccerTwos-3999999.pt +3 -0
  33. SoccerTwos/SoccerTwos-4335829.onnx +3 -0
  34. SoccerTwos/SoccerTwos-4335829.pt +3 -0
  35. SoccerTwos/SoccerTwos-4424789.onnx +3 -0
  36. SoccerTwos/SoccerTwos-4424789.pt +3 -0
  37. SoccerTwos/SoccerTwos-499642.onnx +3 -0
  38. SoccerTwos/SoccerTwos-499642.pt +3 -0
  39. SoccerTwos/SoccerTwos-999328.onnx +3 -0
  40. SoccerTwos/SoccerTwos-999328.pt +3 -0
  41. SoccerTwos/checkpoint.pt +3 -0
  42. SoccerTwos/events.out.tfevents.1679067702.MacBook-Pro.local.10304.0 +3 -0
  43. SoccerTwos/events.out.tfevents.1679079669.MacBook-Pro.local.11891.0 +3 -0
  44. SoccerTwos/events.out.tfevents.1679090952.MacBook-Pro.local.13360.0 +3 -0
  45. SoccerTwos/events.out.tfevents.1679128129.MacBook-Pro.local.14522.0 +3 -0
  46. SoccerTwos/events.out.tfevents.1679139855.MacBook-Pro.local.16421.0 +3 -0
  47. SoccerTwos/events.out.tfevents.1679151153.MacBook-Pro.local.18063.0 +3 -0
  48. SoccerTwos/events.out.tfevents.1679156916.MacBook-Pro.local.18976.0 +3 -0
  49. SoccerTwos/events.out.tfevents.1679164759.MacBook-Pro.local.20181.0 +3 -0
  50. config.json +1 -0
.DS_Store ADDED
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.gitattributes CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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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: hmatzner/poca-SoccerTwos-Vinicius
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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, "behaviors": {"SoccerTwos": {"trainer_type": "poca", "hyperparameters": {"batch_size": 2048, "buffer_size": 20480, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "constant", "beta_schedule": "constant", "epsilon_schedule": "constant"}, "checkpoint_interval": 500000, "network_settings": {"normalize": false, "hidden_units": 512, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 20000000, "time_horizon": 1000, "summary_freq": 10000, "threaded": false, "self_play": {"save_steps": 50000, "team_change": 200000, "swap_steps": 2000, "window": 10, "play_against_latest_model_ratio": 0.5, "initial_elo": 1200.0}, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/SoccerTwos.exe", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SoccerTwos", "initialize_from": null, "load_model": false, "resume": true, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}