Reinforcement Learning
ml-agents
ONNX
ML-Agents-SoccerTwos
poca
deep-rl-course
Eval Results (legacy)
Instructions to use rohit0128/poca-SoccerTwos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use rohit0128/poca-SoccerTwos with ml-agents:
mlagents-load-from-hf --repo-id="rohit0128/poca-SoccerTwos" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
poca-SoccerTwos
This is a trained model of a POCA agent playing ML-Agents-SoccerTwos. This model was trained as part of the Hugging Face Deep Reinforcement Learning Course.
Evaluation Results
- Environment:
ML-Agents-SoccerTwos - Algorithm:
POCA - Library:
ml-agents - Mean Reward:
0.50 +/- 0.05
Usage
To evaluate this model locally or play with it, download the model files from this repository.
- Downloads last month
- 15
Evaluation results
- mean_reward on ML-Agents-SoccerTwosself-reported0.50 +/- 0.05