| library_name: ml-agents | |
| tags: | |
| - SnowballTarget | |
| - deep-reinforcement-learning | |
| - reinforcement-learning | |
| - ML-Agents-SnowballTarget | |
| - ml-agents | |
| # **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). | |
| ## Usage (with ML-Agents) | |
| The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/ | |
| ### Watch your Agent play | |
| You can watch your agent **playing directly in your browser:** | |
| 👉 https://huggingface.co/spaces/ThomasSimonini/ML-Agents-SnowballTarget | |
| 1. In step 1, choose your model repository: `umesh251/ppo-SnowballTarget` | |
| 2. In step 2, choose `SnowballTarget.onnx` | |