Reinforcement Learning
stable-baselines3
MountainCar-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use esh/MountainCar-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use esh/MountainCar-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="esh/MountainCar-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4de5263c0859490764e9933366da813e6795a974982e67d78292b930ca5764a
- Size of remote file:
- 207 kB
- SHA256:
- 6d583d698b9fb36bf2743de39f93f6bb9256c9b8f0e47f544dd3f77565e4c837
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.