tags: | |
- unity-ml-agents | |
- ml-agents | |
- deep-reinforcement-learning | |
- reinforcement-learning | |
- 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. | |