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
- Xet hash:
- 9a866dffb8058d73c337a09dc579811238a0bc87a0ec1716f4b59ea5b933d636
- Size of remote file:
- 88.7 kB
- SHA256:
- 2856e3b6dc3ad687256a7931c67222a569cb49298bb9128b2c268dd44e8936c1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.