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Ball_test

Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
3DBall
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ThomasSimonini HF staff commited on
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  1. 3DBall.onnx +3 -0
  2. 3DBall/3DBall-499833.onnx +3 -0
  3. 3DBall/3DBall-499833.pt +3 -0
  4. 3DBall/3DBall-500833.onnx +3 -0
  5. 3DBall/3DBall-500833.pt +3 -0
  6. 3DBall/checkpoint.pt +3 -0
  7. 3DBall/events.out.tfevents.1650347797.Thomas.23216.0 +3 -0
  8. README.md +19 -0
  9. config.json +1 -0
  10. configuration.yaml +75 -0
  11. run_logs/timers.json +327 -0
  12. run_logs/training_status.json +38 -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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+ - 3DBall
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+ ---
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+
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+ # **ppo** Agent playing **3DBall**
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+ This is a trained model of a **ppo** agent playing **3DBall** 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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+ TODO: Add your code
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+
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+ ## Configuration file
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+ {'default_settings': None, 'behaviors': {'3DBall': {'trainer_type': 'ppo', 'hyperparameters': {'batch_size': 64, 'buffer_size': 12000, 'learning_rate': 0.0003, 'beta': 0.001, 'epsilon': 0.2, 'lambd': 0.99, 'num_epoch': 3, 'learning_rate_schedule': 'linear', 'beta_schedule': 'linear', 'epsilon_schedule': 'linear'}, 'network_settings': {'normalize': True, 'hidden_units': 128, 'num_layers': 2, 'vis_encode_type': 'simple', 'memory': None, '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': None, 'goal_conditioning_type': 'hyper', 'deterministic': False}}}, 'init_path': None, 'keep_checkpoints': 5, 'checkpoint_interval': 500000, 'max_steps': 500000, 'time_horizon': 1000, 'summary_freq': 12000, 'threaded': False, 'self_play': None, 'behavioral_cloning': None}}, 'env_settings': {'env_path': None, 'env_args': None, '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': False}, 'environment_parameters': None, 'checkpoint_settings': {'run_id': 'fullTestHF', 'initialize_from': None, 'load_model': False, 'resume': False, 'force': False, 'train_model': False, 'inference': False, 'results_dir': 'results'}, 'torch_settings': {'device': None}, 'debug': False}
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+
config.json ADDED
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+ {"default_settings": null, "behaviors": {"3DBall": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 64, "buffer_size": 12000, "learning_rate": 0.0003, "beta": 0.001, "epsilon": 0.2, "lambd": 0.99, "num_epoch": 3, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "network_settings": {"normalize": true, "hidden_units": 128, "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, "checkpoint_interval": 500000, "max_steps": 500000, "time_horizon": 1000, "summary_freq": 12000, "threaded": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": null, "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": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "fullTestHF", "initialize_from": null, "load_model": false, "resume": false, "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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+ 3DBall:
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+ trainer_type: ppo
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+ hyperparameters:
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+ batch_size: 64
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+ buffer_size: 12000
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+ learning_rate: 0.0003
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+ beta: 0.001
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+ epsilon: 0.2
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+ lambd: 0.99
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+ num_epoch: 3
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+ learning_rate_schedule: linear
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+ beta_schedule: linear
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+ epsilon_schedule: linear
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+ network_settings:
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+ normalize: true
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+ hidden_units: 128
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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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+ reward_signals:
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+ extrinsic:
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+ gamma: 0.99
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+ strength: 1.0
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+ network_settings:
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+ normalize: false
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+ hidden_units: 128
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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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+ init_path: null
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+ keep_checkpoints: 5
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+ checkpoint_interval: 500000
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+ max_steps: 500000
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+ time_horizon: 1000
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+ summary_freq: 12000
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+ threaded: false
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+ self_play: null
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+ behavioral_cloning: null
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+ env_settings:
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+ env_path: null
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+ env_args: null
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+ base_port: 5005
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+ num_envs: 1
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+ num_areas: 1
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+ seed: -1
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+ max_lifetime_restarts: 10
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+ restarts_rate_limit_n: 1
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+ restarts_rate_limit_period_s: 60
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+ engine_settings:
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+ width: 84
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+ height: 84
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+ quality_level: 5
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+ time_scale: 20
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+ target_frame_rate: -1
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+ capture_frame_rate: 60
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+ no_graphics: false
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+ environment_parameters: null
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+ checkpoint_settings:
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+ run_id: fullTestHF
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+ initialize_from: null
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+ load_model: false
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+ resume: false
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+ force: false
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+ train_model: false
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+ inference: false
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+ results_dir: results
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+ torch_settings:
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+ device: null
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+ debug: false
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