Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use FumaNet/TEST2PPO-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use FumaNet/TEST2PPO-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="FumaNet/TEST2PPO-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a79613f05f5c2407629255f742640507eb89b7cc51a14722735b70082fc3f58f
- Size of remote file:
- 144 kB
- SHA256:
- a0a509bd57f6fe915d97f1728834a358f8bf21ef76589cce60a58a7c5a47f6ab
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