Instructions to use Surya198382/ppo-SoccerTwos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Surya198382/ppo-SoccerTwos with ml-agents:
mlagents-load-from-hf --repo-id="Surya198382/ppo-SoccerTwos" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
ppo-SoccerTwos
This is a trained model of a PPO agent playing ML-Agents-SoccerTwos.
- Unit: Unit 7 of the Hugging Face Deep RL Course.
- Library:
ml-agents - Algorithm:
PPO - Environment:
ML-Agents-SoccerTwos - Mean Reward:
22.00 +/- 2.00
Description
Trained Unity ML-Agents PPO self-play agent on SoccerTwos for Hugging Face Deep RL Course Unit 7.
Usage
This agent was uploaded as part of the Hugging Face Deep Reinforcement Learning Course assignments by Surya198382.
- Downloads last month
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Evaluation results
- mean_reward on ML-Agents-SoccerTwosself-reported22.00 +/- 2.00