| tags: | |
| - ml-agents | |
| - reinforcement-learning | |
| - ppo | |
| - unity | |
| - Pyramids | |
| - ML-Agents-Pyramids | |
| - unity-ml-agents | |
| - ONNX | |
| %%writefile README.md | |
| # PPO Pyramids Agent | |
| This model was trained using PPO with Unity ML-Agents in the Pyramids environment. | |
| ## Environment | |
| Pyramids | |
| ## Algorithm | |
| PPO (Proximal Policy Optimization) | |
| ## Training | |
| The agent was trained using Unity ML-Agents and Hugging Face Deep RL course materials. | |
| ## Files | |
| - `Pyramids.onnx` — trained policy network | |
| ## Watch | |
| To watch model go to https://huggingface.co/spaces/unity/ML-Agents-Pyramids and search for RyanAA | |
| ## Author | |
| Ryan Aparicio |