Reinforcement Learning
stable-baselines3
HalfCheetah-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/ppo-HalfCheetah-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/ppo-HalfCheetah-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/ppo-HalfCheetah-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from sb3/ppo-HalfCheetah-v3: direct link, hf CLI and curl.
- Browser
- Download file 5.01 kB
-
https://huggingface.co/sb3/ppo-HalfCheetah-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://sb3/ppo-HalfCheetah-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/sb3/ppo-HalfCheetah-v3/resolve/main/vec_normalize.pkl
5.01 kB
- Xet hash:
- 139eac1676b9213974c785a095a420285d6b5f4063ddbe4247be9adc3e21c23f
- Size of remote file:
- 5.01 kB
- SHA256:
- b364c6b89c475a08290ac03d8e557c337cbdb592b33ef0e38b7e788cc071e759
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