Reinforcement Learning
stable-baselines3
Walker2d-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jren123/sac-walker2d-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jren123/sac-walker2d-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jren123/sac-walker2d-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0467070ac2b045bc92a131b8562a203323924d8476768cf6c6d12299722375c
- Size of remote file:
- 3.24 MB
- SHA256:
- 3d3bae5c18227748ae806814508b2a4cb4b80638507b819208d7aa7f458aa494
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.