Reinforcement Learning
ml-agents
ONNX
SoccerTwos
deep-reinforcement-learning
ML-Agents-SoccerTwos
Eval Results (legacy)
Instructions to use EricMingle69/poca-SoccerTwos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use EricMingle69/poca-SoccerTwos with ml-agents:
mlagents-load-from-hf --repo-id="EricMingle69/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, trained with Unity ML-Agents as part of the Hugging Face Deep Reinforcement Learning Course.
Evaluation
Real inference run with the exported ONNX policy in the Unity environment.
- episodes: 100
- mean_reward: -0.114
- std_reward: 0.557
- score (mean - std): -0.671
- Downloads last month
- -
Evaluation results
- mean_reward on ML-Agents-SoccerTwosself-reported-0.11 +/- 0.56