Reinforcement Learning
stable-baselines3
Walker2d-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/ars-Walker2d-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/ars-Walker2d-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/ars-Walker2d-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb793da9b7321516627e64fd063e438a7d429172df1e3a7f870b52a179d17f22
- Size of remote file:
- 4.97 kB
- SHA256:
- ccc879e3c7e004ff438e63b94c65259d3f313125d100ace7d579a51cb62e1b5e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.