Instructions to use Rivershen/rl-class-lunarlander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Rivershen/rl-class-lunarlander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Rivershen/rl-class-lunarlander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
rl-class-lunarlander-v2
This is a trained Reinforcement Learning model for the Hugging Face Deep Reinforcement Learning Course (Unit 1).
- Environment:
LunarLander-v2 - Library:
stable-baselines3 - Performance: Mean Reward =
275.0 +/- 12.0 - Description: Deep RL Course Unit 1 - Trained PPO Agent playing LunarLander-v2
- Downloads last month
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Evaluation results
- mean_reward on LunarLander-v2self-reported275.0 +/- 12.0