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/policy.pth from yDiffraction/Reinforcement-Learning: direct link, hf CLI and curl.
- Browser
- Download file 44.1 kB
-
https://huggingface.co/yDiffraction/Reinforcement-Learning/resolve/main/first/policy.pth
- Command line
-
hf download hf://yDiffraction/Reinforcement-Learning/first/policy.pth
-
curl -L -o policy.pth https://huggingface.co/yDiffraction/Reinforcement-Learning/resolve/main/first/policy.pth
44.1 kB
- Xet hash:
- d1569cdd9679705edb885bec37250b172b2e41a731f39ad6579abfdaec9b9d6d
- Size of remote file:
- 44.1 kB
- SHA256:
- a662aedb557de8c3217e963213084eab76a36ce577a1dcace3f621bbff64caea
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