Fhermin/ppo-SnowballTarget

1---2library_name: ml-agents3tags:4- SnowballTarget5- deep-reinforcement-learning6- reinforcement-learning7- ML-Agents-SnowballTarget8---9 10  # **ppo** Agent playing **SnowballTarget**11  This is a trained model of a **ppo** agent playing **SnowballTarget**12  using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).13 14  ## Usage (with ML-Agents)15  The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/16 17  We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:18  - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your19  browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction20  - A *longer tutorial* to understand how works ML-Agents:21  https://huggingface.co/learn/deep-rl-course/unit5/introduction22 23  ### Resume the training24  ```bash25  mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume26  ```27 28  ### Watch your Agent play29  You can watch your agent **playing directly in your browser**30 31  1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity32  2. Step 1: Find your model_id: Fhermin/ppo-SnowballTarget33  3. Step 2: Select your *.nn /*.onnx file34  4. Click on Watch the agent play 👀35