First Pyramids

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README.md

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+
+---
+      tags:
+      - unity-ml-agents
+      - ml-agents
+      - deep-reinforcement-learning
+      - reinforcement-learning
+      - ML-Agents-Pyramids
+      library_name: ml-agents
+---
+    
+  # **ppo** Agent playing **Pyramids**
+  This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
+  
+  ## Usage (with ML-Agents)
+  The Documentation: https://github.com/huggingface/ml-agents#get-started
+  We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
+
+
+  ### Resume the training
+  ```
+  mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
+  ```
+  ### Watch your Agent play
+  You can watch your agent **playing directly in your browser:**.
+  
+  1. Go to https://huggingface.co/spaces/unity/ML-Agents-Pyramids
+  2. Step 1: Write your model_id: RaphaelReinauer/testpyramidsrnd
+  3. Step 2: Select your *.nn /*.onnx file
+  4. Click on Watch the agent play 👀
+  

config.json

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+{"behaviors": {"Pyramids": {"behavioral_cloning": null, "checkpoint_interval": 500000, "hyperparameters": {"batch_size": 128, "beta": 0.01, "beta_schedule": "linear", "buffer_size": 2048, "epsilon": 0.2, "epsilon_schedule": "linear", "lambd": 0.95, "learning_rate": 0.0003, "learning_rate_schedule": "linear", "num_epoch": 3}, "init_path": null, "keep_checkpoints": 5, "max_steps": 1000000, "network_settings": {"deterministic": false, "goal_conditioning_type": "hyper", "hidden_units": 512, "memory": null, "normalize": false, "num_layers": 2, "vis_encode_type": "simple"}, "reward_signals": {"extrinsic": {"gamma": 0.99, "network_settings": {"deterministic": false, "goal_conditioning_type": "hyper", "hidden_units": 128, "memory": null, "normalize": false, "num_layers": 2, "vis_encode_type": "simple"}, "strength": 1.0}, "rnd": {"encoding_size": null, "gamma": 0.99, "learning_rate": 0.0001, "network_settings": {"deterministic": false, "goal_conditioning_type": "hyper", "hidden_units": 64, "memory": null, "normalize": false, "num_layers": 3, "vis_encode_type": "simple"}, "strength": 0.01}}, "self_play": null, "summary_freq": 30000, "threaded": false, "time_horizon": 128, "trainer_type": "ppo"}}, "checkpoint_settings": {"force": false, "inference": false, "initialize_from": null, "load_model": false, "results_dir": "results", "resume": false, "run_id": "Pyramids Training", "train_model": false}, "debug": false, "default_settings": null, "engine_settings": {"capture_frame_rate": 60, "height": 84, "no_graphics": true, "quality_level": 5, "target_frame_rate": -1, "time_scale": 20, "width": 84}, "env_settings": {"base_port": 5005, "env_args": null, "env_path": "./trained-envs-executables/linux/Pyramids/Pyramids", "max_lifetime_restarts": 10, "num_areas": 1, "num_envs": 1, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60, "seed": -1}, "environment_parameters": null, "torch_settings": {"device": null}}

configuration.yaml

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+behaviors:
+  Pyramids:
+    behavioral_cloning: null
+    checkpoint_interval: 500000
+    hyperparameters: {batch_size: 128, beta: 0.01, beta_schedule: linear, buffer_size: 2048,
+      epsilon: 0.2, epsilon_schedule: linear, lambd: 0.95, learning_rate: 0.0003,
+      learning_rate_schedule: linear, num_epoch: 3}
+    init_path: null
+    keep_checkpoints: 5
+    max_steps: 1000000
+    network_settings: {deterministic: false, goal_conditioning_type: hyper, hidden_units: 512,
+      memory: null, normalize: false, num_layers: 2, vis_encode_type: simple}
+    reward_signals:
+      extrinsic:
+        gamma: 0.99
+        network_settings: {deterministic: false, goal_conditioning_type: hyper, hidden_units: 128,
+          memory: null, normalize: false, num_layers: 2, vis_encode_type: simple}
+        strength: 1.0
+      rnd:
+        encoding_size: null
+        gamma: 0.99
+        learning_rate: 0.0001
+        network_settings: {deterministic: false, goal_conditioning_type: hyper, hidden_units: 64,
+          memory: null, normalize: false, num_layers: 3, vis_encode_type: simple}
+        strength: 0.01
+    self_play: null
+    summary_freq: 30000
+    threaded: false
+    time_horizon: 128
+    trainer_type: ppo
+checkpoint_settings: {force: false, inference: false, initialize_from: null, load_model: false,
+  results_dir: results, resume: false, run_id: Pyramids Training, train_model: false}
+debug: false
+default_settings: null
+engine_settings: {capture_frame_rate: 60, height: 84, no_graphics: true, quality_level: 5,
+  target_frame_rate: -1, time_scale: 20, width: 84}
+env_settings: {base_port: 5005, env_args: null, env_path: ./trained-envs-executables/linux/Pyramids/Pyramids,
+  max_lifetime_restarts: 10, num_areas: 1, num_envs: 1, restarts_rate_limit_n: 1,
+  restarts_rate_limit_period_s: 60, seed: -1}
+environment_parameters: null
+torch_settings: {device: null}

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