Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use TonyRaju/Lunar-deepRL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use TonyRaju/Lunar-deepRL with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="TonyRaju/Lunar-deepRL", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa3d7ed51561f4e2bec5231fbf1ab7c97876ed887f3bb67f3dc2dcfbc26e4c7c
- Size of remote file:
- 149 kB
- SHA256:
- 47131fb53e23a6ede9a7617c5a13f1f6597e9a8a61bc64902579f03ec6f50b2e
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