Reinforcement Learning
stable-baselines3
BipedalWalker-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use araffin/tqc-BipedalWalker-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use araffin/tqc-BipedalWalker-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="araffin/tqc-BipedalWalker-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 182d12972d3a68b3b43c5f65163405b462e256f0450adfa363547eb9751b5232
- Size of remote file:
- 6.1 MB
- SHA256:
- be2f55de70af9ff7631d7b31e331d2a244144e9d0c2776764a13653f7b325411
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.