| --- |
| library_name: ml-agents |
| tags: |
| - Pyramids |
| - deep-reinforcement-learning |
| - reinforcement-learning |
| - ML-Agents-Pyramids |
| --- |
| |
| # **ppo** Agent playing **Pyramids** |
| This is a trained model of a **ppo** agent playing **Pyramids** |
| 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/ |
|
|
|
|
| ### Resume the training |
| ```bash |
| mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume |
| ``` |
|
|
| ### Watch your Agent play |
| You can watch your agent **playing directly in your browser** |
|
|
| 1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity |
| 2. Step 1: Find your model_id: InMDev/ppo-PyramidsRND |
| 3. Step 2: Select your *.nn /*.onnx file |
| 4. Click on Watch the agent play 👀 |
| |
