Reinforcement Learning
stable-baselines3
InvertedPendulum-v2
deep-reinforcement-learning
InvertedPendulum-v4
Eval Results (legacy)
Instructions to use qgallouedec/ppo-InvertedPendulum-v2-3255082071 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use qgallouedec/ppo-InvertedPendulum-v2-3255082071 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="qgallouedec/ppo-InvertedPendulum-v2-3255082071", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from qgallouedec/ppo-InvertedPendulum-v2-3255082071: direct link, hf CLI and curl.
- Browser
- Download file 4.13 kB
-
https://huggingface.co/qgallouedec/ppo-InvertedPendulum-v2-3255082071/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://qgallouedec/ppo-InvertedPendulum-v2-3255082071/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/qgallouedec/ppo-InvertedPendulum-v2-3255082071/resolve/main/vec_normalize.pkl
4.13 kB
- Xet hash:
- 084b6fe90db5170c05776de368573c539559adf8013e0d9a5f1da169bb31e4c5
- Size of remote file:
- 4.13 kB
- SHA256:
- 17222997749aaf3394a6f15bcaa3ae307f7960d406c6e211b51d6ee92dcd514a
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