| ppo Agent playing Pyramids | |
| This is a trained model of a ppo agent playing Pyramids using the Unity ML-Agents Library. | |
| Usage (with ML-Agents) | |
| The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/ | |
| We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub: | |
| A short tutorial where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction | |
| A longer tutorial to understand how works ML-Agents: https://huggingface.co/learn/deep-rl-course/unit5/introduction | |
| Resume the training | |
| 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 | |
| If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity | |
| Step 1: Find your model_id: tungdao1998/ppo-ML-Agents-Pyramids | |
| Step 2: Select your .nn /.onnx file | |
| Click on Watch the agent play 👀 |