Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use yDiffraction/Reinforcement-Learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use yDiffraction/Reinforcement-Learning with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="yDiffraction/Reinforcement-Learning", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download first.zip from yDiffraction/Reinforcement-Learning: direct link, hf CLI and curl.
- Browser
- Download file 149 kB
-
https://huggingface.co/yDiffraction/Reinforcement-Learning/resolve/main/first.zip
- Command line
-
hf download hf://yDiffraction/Reinforcement-Learning/first.zip
-
curl -L -o first.zip https://huggingface.co/yDiffraction/Reinforcement-Learning/resolve/main/first.zip
149 kB
- Xet hash:
- f1a55e13a4d551494ac45bcd7f5ac17de1eb3ea3bdd3cb3732ea1a29b44fed22
- Size of remote file:
- 149 kB
- SHA256:
- a1dbea2ffc690a4947ff51244140492353682db00779861723f071bee46981bc
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