Reinforcement Learning
ml-agents
ONNX
ML-Agents-SoccerTwos
deep-rl-course
poca
Eval Results (legacy)
Instructions to use tanu20/unit7-soccer-agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use tanu20/unit7-soccer-agent with ml-agents:
mlagents-load-from-hf --repo-id="tanu20/unit7-soccer-agent" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
SoccerTwos MA-POCA Agent
This model was trained for the Hugging Face Deep Reinforcement Learning Course Unit 7 using the ML-Agents SoccerTwos environment and the MA-POCA trainer.
Training configuration:
- Algorithm: MA-POCA
- Environment: SoccerTwos
- Maximum training steps: 5,000,000
- Actual training stopped after approximately 510,000 steps
- Framework: Unity ML-Agents 0.30.0
The repository contains the trained ONNX policy checkpoint.
- Downloads last month
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Evaluation results
- mean_reward on ML-Agents-SoccerTwosself-reported0.00 +/- 0.00