Instructions to use Rivershen/rl-class-ml-agents-snowball with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Rivershen/rl-class-ml-agents-snowball with ml-agents:
mlagents-load-from-hf --repo-id="Rivershen/rl-class-ml-agents-snowball" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
rl-class-ml-agents-snowball
This is a trained Reinforcement Learning model for the Hugging Face Deep Reinforcement Learning Course (Unit 5a).
- Environment:
ML-Agents-SnowballTarget - Library:
ml-agents - Performance: Mean Reward =
25.0 +/- 5.0 - Description: Deep RL Course Unit 5 - Unity ML-Agents SnowballTarget
- Downloads last month
- -
Evaluation results
- mean_reward on ML-Agents-SnowballTargetself-reported25.0 +/- 5.0