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Rudolph314
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ppo-PyramidsRND

Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Model card Files
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Rudolph314 commited on
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Pyramids first push

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Files changed (14) hide show
  1. Pyramids.onnx +3 -0
  2. Pyramids/Pyramids-1000084.onnx +3 -0
  3. Pyramids/Pyramids-1000084.pt +3 -0
  4. Pyramids/Pyramids-499943.onnx +3 -0
  5. Pyramids/Pyramids-499943.pt +3 -0
  6. Pyramids/Pyramids-999964.onnx +3 -0
  7. Pyramids/Pyramids-999964.pt +3 -0
  8. Pyramids/checkpoint.pt +3 -0
  9. Pyramids/events.out.tfevents.1713405784.DESKTOP-NDVELL8.20080.0 +3 -0
  10. README.md +35 -0
  11. config.json +1 -0
  12. configuration.yaml +91 -0
  13. run_logs/timers.json +356 -0
  14. run_logs/training_status.json +47 -0
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README.md ADDED
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+ ---
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+ library_name: ml-agents
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+ tags:
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+ - Pyramids
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+ - deep-reinforcement-learning
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+ - reinforcement-learning
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+ - ML-Agents-Pyramids
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+ ---
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+
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+ # **ppo** Agent playing **Pyramids**
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+ This is a trained model of a **ppo** agent playing **Pyramids**
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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: Rudolph314/ppo-PyramidsRND
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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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+
config.json ADDED
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+ {"default_settings": null, "behaviors": {"Pyramids": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.01, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "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}}, "rnd": {"gamma": 0.99, "strength": 0.01, "network_settings": {"normalize": false, "hidden_units": 64, "num_layers": 3, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "learning_rate": 0.0001, "encoding_size": null}}, "init_path": null, "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 1000000, "time_horizon": 128, "summary_freq": 30000, "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, "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": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "Pyramids1", "initialize_from": null, "load_model": false, "resume": false, "force": true, "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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+ Pyramids:
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+ trainer_type: ppo
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+ hyperparameters:
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+ batch_size: 128
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+ buffer_size: 2048
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+ learning_rate: 0.0003
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+ beta: 0.01
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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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+ shared_critic: false
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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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+ checkpoint_interval: 500000
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+ network_settings:
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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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+ 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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+ rnd:
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+ gamma: 0.99
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+ strength: 0.01
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+ network_settings:
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+ normalize: false
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+ hidden_units: 64
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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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+ deterministic: false
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+ learning_rate: 0.0001
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+ encoding_size: null
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+ init_path: null
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+ keep_checkpoints: 5
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+ even_checkpoints: false
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+ summary_freq: 30000
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+ threaded: false
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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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+ no_graphics: false
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+ checkpoint_settings:
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+ run_id: Pyramids1
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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: true
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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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