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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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- ML-Agents-Huggy |
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library_name: ml-agents |
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--- |
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# **ppo** Agent playing **Huggy** 🐶 |
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This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). |
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## Usage (with ML-Agents) |
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### Resume the training |
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``` |
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mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume |
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``` |
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### Watch your Agent |
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1. Move your model file into the environment Project |
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2. Open the Unity Editor, and select the scene. |
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3. Select the prefab Agent object. |
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4. Drag the <behavior_name>.onnx file from the Project window of the Editor to the Model placeholder in the Agent inspector window. |
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5. Press the Play button at the top of the Editor. |
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