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