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:
- fb305c7bcca42ec10941aca5268e8c07d48814dd337386655b73772c7b09c537
- Size of remote file:
- 156 kB
- SHA256:
- 2032646873aa3ae2d15cd2d71bafcc13eb720f757ec30cd450d11a3cb0d31b37
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