Reinforcement Learning
stable-baselines3
Hopper-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/trpo-Hopper-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/trpo-Hopper-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/trpo-Hopper-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from sb3/trpo-Hopper-v3: direct link, hf CLI and curl.
- Browser
- Download file 4.82 kB
-
https://huggingface.co/sb3/trpo-Hopper-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://sb3/trpo-Hopper-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/sb3/trpo-Hopper-v3/resolve/main/vec_normalize.pkl
4.82 kB
- Xet hash:
- 0fc0e43ea6744626b4a53af75ab0efa880784c33a665d4135c7fcd65c6663791
- Size of remote file:
- 4.82 kB
- SHA256:
- d44fbb6a89ee9b873c467485afa1aea1c82616e5a268ea1b71213073cada76ef
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