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  1. README.md +35 -0
  2. SoccerTwos.onnx +3 -0
  3. SoccerTwos/SoccerTwos-10499990.onnx +3 -0
  4. SoccerTwos/SoccerTwos-10499990.pt +3 -0
  5. SoccerTwos/SoccerTwos-10999892.onnx +3 -0
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  13. SoccerTwos/SoccerTwos-12999794.onnx +3 -0
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  37. SoccerTwos/SoccerTwos-9499921.onnx +3 -0
  38. SoccerTwos/SoccerTwos-9499921.pt +3 -0
  39. SoccerTwos/SoccerTwos-9999979.onnx +3 -0
  40. SoccerTwos/SoccerTwos-9999979.pt +3 -0
  41. SoccerTwos/checkpoint.pt +3 -0
  42. SoccerTwos/events.out.tfevents.1755450444.DESKTOP-9J9O68M.11116.0 +3 -0
  43. SoccerTwos/events.out.tfevents.1755501615.DESKTOP-9J9O68M.2284.0 +3 -0
  44. SoccerTwos/events.out.tfevents.1755509823.DESKTOP-9J9O68M.5976.0 +3 -0
  45. config.json +1 -0
  46. configuration.yaml +84 -0
  47. run_logs/Player-0.log +40 -0
  48. run_logs/timers.json +383 -0
  49. run_logs/training_status.json +57 -0
README.md ADDED
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+ ---
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+ library_name: ml-agents
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+ tags:
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+ - SoccerTwos
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+ - deep-reinforcement-learning
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+ - reinforcement-learning
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+ - ML-Agents-SoccerTwos
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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**
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+ 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://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
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+
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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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+ - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
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+ browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
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+ - A *longer tutorial* to understand how works ML-Agents:
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+ https://huggingface.co/learn/deep-rl-course/unit5/introduction
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+
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+ ### Resume the training
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+ ```bash
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+ mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
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+ ```
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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. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
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+ 2. Step 1: Find your model_id: mustafataha5/poca-SoccerTwos
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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": 4096, "buffer_size": 40960, "learning_rate": 0.0001, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 500000, "network_settings": {"normalize": true, "hidden_units": 512, "num_layers": 3, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.995, "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": 10, "even_checkpoints": false, "max_steps": 15000000, "time_horizon": 2000, "summary_freq": 20000, "threaded": true, "self_play": {"save_steps": 50000, "team_change": 100000, "swap_steps": 5000, "window": 20, "play_against_latest_model_ratio": 0.7, "initial_elo": 1200.0}, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/SoccerTwos/SoccerTwos.exe", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "timeout_wait": 60, "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, "no_graphics_monitor": false}, "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}
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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: 4096
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+ buffer_size: 40960
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+ learning_rate: 0.0001
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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: linear
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+ checkpoint_interval: 500000
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+ normalize: true
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+ hidden_units: 512
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+ num_layers: 3
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+ vis_encode_type: simple
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+ memory: null
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+ gamma: 0.995
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+ strength: 1.0
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+ network_settings:
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+ hidden_units: 128
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+ num_layers: 2
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+ memory: null
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+ goal_conditioning_type: hyper
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+ deterministic: false
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+ keep_checkpoints: 10
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+ even_checkpoints: false
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+ max_steps: 15000000
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+ time_horizon: 2000
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+ summary_freq: 20000
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+ threaded: true
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+ self_play:
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+ save_steps: 50000
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