Instructions to use plpanjali05/poca-SoccerTwos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use plpanjali05/poca-SoccerTwos with ml-agents:
mlagents-load-from-hf --repo-id="plpanjali05/poca-SoccerTwos" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
MA-POCA Agent playing SoccerTwos (Unity ML-Agents)
This is a trained model of an agent playing ML-Agents-SoccerTwos using the ml-agents library as part of the Hugging Face Deep Reinforcement Learning Course.
- Environment: ML-Agents-SoccerTwos
- Library: ml-agents
- Mean Reward: 1.20 +/- 0.30
- Student: plpanjali05
Usage
# To load this model, refer to the corresponding unit notebook in the Hugging Face Deep RL Course.
- Downloads last month
- 22
Evaluation results
- mean_reward on ML-Agents-SoccerTwosself-reported1.20 +/- 0.30