Zak commited on
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1 Parent(s): e0e667b
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README.md ADDED
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+ ---
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+ library_name: ml-agents
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+ tags:
4
+ - Huggy
5
+ - deep-reinforcement-learning
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+ - reinforcement-learning
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+ - ML-Agents-Huggy
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+ ---
9
+
10
+ # **ppo** Agent playing **Huggy**
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+ This is a trained model of a **ppo** agent playing **Huggy**
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+ using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
13
+
14
+ ## Usage (with ML-Agents)
15
+ The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
16
+
17
+ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
18
+ - 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
20
+ - A *longer tutorial* to understand how works ML-Agents:
21
+ https://huggingface.co/learn/deep-rl-course/unit5/introduction
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+
23
+ ### Resume the training
24
+ ```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: Z4K/ppo-Huggy
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+ 3. Step 2: Select your *.nn /*.onnx file
34
+ 4. Click on Watch the agent play 👀
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+
config.json ADDED
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+ {"default_settings": null, "behaviors": {"Huggy": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 2048, "buffer_size": 20480, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 200000, "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": 15, "even_checkpoints": false, "max_steps": 2000000, "time_horizon": 1000, "summary_freq": 50000, "threaded": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./trained-envs-executables/linux/Huggy/Huggy", "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": "Huggy", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
configuration.yaml ADDED
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+ default_settings: null
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+ behaviors:
3
+ Huggy:
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+ trainer_type: ppo
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+ hyperparameters:
6
+ 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
10
+ epsilon: 0.2
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+ lambd: 0.95
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+ num_epoch: 3
13
+ shared_critic: false
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+ learning_rate_schedule: linear
15
+ beta_schedule: linear
16
+ epsilon_schedule: linear
17
+ checkpoint_interval: 200000
18
+ network_settings:
19
+ normalize: true
20
+ hidden_units: 512
21
+ num_layers: 3
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+ vis_encode_type: simple
23
+ memory: null
24
+ goal_conditioning_type: hyper
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+ deterministic: false
26
+ reward_signals:
27
+ extrinsic:
28
+ gamma: 0.995
29
+ strength: 1.0
30
+ network_settings:
31
+ normalize: false
32
+ hidden_units: 128
33
+ num_layers: 2
34
+ vis_encode_type: simple
35
+ memory: null
36
+ goal_conditioning_type: hyper
37
+ deterministic: false
38
+ init_path: null
39
+ keep_checkpoints: 15
40
+ even_checkpoints: false
41
+ max_steps: 2000000
42
+ time_horizon: 1000
43
+ summary_freq: 50000
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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:
48
+ env_path: ./trained-envs-executables/linux/Huggy/Huggy
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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
56
+ restarts_rate_limit_period_s: 60
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+ engine_settings:
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+ width: 84
59
+ height: 84
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+ quality_level: 5
61
+ time_scale: 20
62
+ target_frame_rate: -1
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+ capture_frame_rate: 60
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+ no_graphics: true
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+ environment_parameters: null
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+ checkpoint_settings:
67
+ run_id: Huggy
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+ initialize_from: null
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+ load_model: false
70
+ resume: false
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+ force: false
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+ train_model: false
73
+ inference: false
74
+ results_dir: results
75
+ torch_settings:
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+ device: null
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+ debug: false
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