Instructions to use RyanAA/ppo-PushBlock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use RyanAA/ppo-PushBlock with ml-agents:
mlagents-load-from-hf --repo-id="RyanAA/ppo-PushBlock" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| tags: | |
| - reinforcement-learning | |
| - ml-agents | |
| - unity | |
| - ppo | |
| - ML-Agents-PushBlock | |
| license: mit | |
| %%writefile README.md | |
| # PPO PushBlock Agent | |
| This model was trained using PPO with Unity ML-Agents in the PushBlock environment. | |
| ## Environment | |
| PushBlock | |
| ## Algorithm | |
| PPO (Proximal Policy Optimization) | |
| ## Files | |
| - `PushBlock.onnx` — trained policy network | |
| ## View | |
| 1. https://huggingface.co/spaces/unity/ML-Agents-PushBlock | |
| 2. RyanAA | |
| ## Author | |
| Ryan Aparicio |