Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use webjdi/LunarLander-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use webjdi/LunarLander-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="webjdi/LunarLander-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de191e917f10db6d8d45862febf4cd87d22b298796f38333b5ff3879c84fd4b7
- Size of remote file:
- 150 kB
- SHA256:
- e56a8a747cb0757b58ea29408574c0a890c3daa9b48de04cded1f70b25ea7e15
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