Reinforcement Learning
stable-baselines3
TensorBoard
BipedalWalker-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use SuperSecureHuman/BipedalWalker-v3-TD3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use SuperSecureHuman/BipedalWalker-v3-TD3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="SuperSecureHuman/BipedalWalker-v3-TD3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e34c97fb642999927d3ff8ce3d63d349f4dee93cd9bbaab2eb1be2dc5ef19fa4
- Size of remote file:
- 6.38 MB
- SHA256:
- 9724a91c49ea624da398d0627d60be5764e9fe1b37e88d999feecfce751261db
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