
  # **poca** Agent playing **SoccerTwos**
  This is a trained model of a **poca** agent playing **SoccerTwos**
  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/

  ### 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: MattStammers/poca-SoccerTwos
  3. Step 2: Select your *.nn /*.onnx file
  4. Click on Watch the agent play 👀

  ### Video

  This video is of the Unity baseline agent (blue) against my agents (purple). The Unity baseline agents are slightly better but only marginally so.
{"library_name": "ml-agents", "tags": ["SoccerTwos", "unity-ml-agents", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]}
ml-agents onnx SoccerTwos unity-ml-agents deep-reinforcement-learning reinforcement-learning ML-Agents-SoccerTwos region:us