Reinforcement Learning
ml-agents
TensorBoard
ONNX
SoccerTwos
unity-ml-agents
deep-reinforcement-learning
ML-Agents-SoccerTwos
Instructions to use MattStammers/poca-SoccerTwos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use MattStammers/poca-SoccerTwos with ml-agents:
mlagents-load-from-hf --repo-id="MattStammers/poca-SoccerTwos" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos using the Unity ML-Agents Library.
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
- If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
- Step 1: Find your model_id: MattStammers/poca-SoccerTwos
- Step 2: Select your .nn /.onnx file
- 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.
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