Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-Huggy
Instructions to use ThomasSimonini/ppo-Huggy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use ThomasSimonini/ppo-Huggy with ml-agents:
mlagents-load-from-hf --repo-id="ThomasSimonini/ppo-Huggy" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
ppo Agent playing Huggy ๐ถ
This is a trained model of a ppo agent playing Huggy using the Unity ML-Agents Library.
Usage (with ML-Agents)
Resume the training
mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
Watch your Agent
- Move your model file into the environment Project
- Open the Unity Editor, and select the scene.
- Select the prefab Agent object.
- Drag the .onnx file from the Project window of the Editor to the Model placeholder in the Agent inspector window.
- Press the Play button at the top of the Editor.
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