| tags: | |
| - reinforcement-learning | |
| - ml-agents | |
| - ppo | |
| - unity | |
| - SnowballTarget | |
| - ML-Agents-SnowballTarget | |
| license: mit | |
| # PPO SnowballTarget | |
| This is a trained PPO agent playing SnowballTarget using Unity ML-Agents. | |
| ## Environment | |
| SnowballTarget | |
| ## Algorithm | |
| PPO (Proximal Policy Optimization) | |
| ## Training Results | |
| Final mean reward: ~23.2 after 200k training steps. | |
| ## Usage | |
| You can watch the agent play directly in your browser: | |
| 1. Go to: | |
| https://huggingface.co/spaces/ThomasSimonini/ML-Agents-SnowballTarget | |
| 2. Search for "RyanAA" | |
| 3. Select `SnowballTarget.onnx` | |
| 4. Click "Watch the agent play" | |
| ## Files | |
| - `SnowballTarget.onnx` — trained policy network |