Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use codewithpurav/LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use codewithpurav/LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="codewithpurav/LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a5b3d510022537459398853875b114c3206ec12af2a8bd3d62929df483e33dc
- Size of remote file:
- 43.8 kB
- SHA256:
- 6b4bd4aa9da8a0188254d9df6bc22cfd844f7c3c32a2fc281e781fc6a11c48e8
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