Reinforcement Learning
stable-baselines3
InvertedPendulum-v2
InvertedPendulum-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use qgallouedec/ppo-InvertedPendulum-v2-902944858 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use qgallouedec/ppo-InvertedPendulum-v2-902944858 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="qgallouedec/ppo-InvertedPendulum-v2-902944858", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from qgallouedec/ppo-InvertedPendulum-v2-902944858: direct link, hf CLI and curl.
- Browser
- Download file 4.13 kB
-
https://huggingface.co/qgallouedec/ppo-InvertedPendulum-v2-902944858/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://qgallouedec/ppo-InvertedPendulum-v2-902944858/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/qgallouedec/ppo-InvertedPendulum-v2-902944858/resolve/main/vec_normalize.pkl
4.13 kB
- Xet hash:
- 047e3e6e39d36df7c1ccb7315bf8fa21daa50a0fc1b0943d5da398b79a6f79c5
- Size of remote file:
- 4.13 kB
- SHA256:
- d81d61b419edb7228aad030b90bef61ed6cd6771618ec619d84c70fcdc678c5a
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