| --- |
| library_name: ml-agents |
| tags: |
| - SnowballTarget |
| - deep-reinforcement-learning |
| - reinforcement-learning |
| - ML-Agents-SnowballTarget |
| --- |
| |
| # **PPO** Agent playing **SnowballTarget** |
| This is a trained model of a **ppo** agent playing **SnowballTarget** |
| using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). |
|
|
| ## Training |
| | Steps | Mean reward (last 5 summaries) | |
| |---|---| |
| | 300,000 | 26.19 | |
|
|
| Full configuration: `configuration.yaml` / `config.json`. |
|
|
| ## Watch the agent play |
| 1. Go to https://huggingface.co/unity |
| 2. Find your model_id: zeynpakn/ppo-SnowballTarget |
| 3. Select the `SnowballTarget.onnx` file |
| 4. Click on *Watch the agent play* 👀 |
| |
| ## Resume training |
| ```bash |
| mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume |
| ``` |
| |
| Course: https://huggingface.co/learn/deep-rl-course/unit5/introduction |
| |
