Reinforcement Learning
stable-baselines3
InvertedDoublePendulum-v2
deep-reinforcement-learning
InvertedDoublePendulum-v4
Eval Results (legacy)
Instructions to use qgallouedec/ppo-InvertedDoublePendulum-v2-85839646 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use qgallouedec/ppo-InvertedDoublePendulum-v2-85839646 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="qgallouedec/ppo-InvertedDoublePendulum-v2-85839646", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from qgallouedec/ppo-InvertedDoublePendulum-v2-85839646: direct link, hf CLI and curl.
- Browser
- Download file 4.43 kB
-
https://huggingface.co/qgallouedec/ppo-InvertedDoublePendulum-v2-85839646/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://qgallouedec/ppo-InvertedDoublePendulum-v2-85839646/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/qgallouedec/ppo-InvertedDoublePendulum-v2-85839646/resolve/main/vec_normalize.pkl
4.43 kB
- Xet hash:
- 857f6cd9ed24de4534f4d37a681e6e37444b2b4b2c84257e57b78693adfce8fb
- Size of remote file:
- 4.43 kB
- SHA256:
- 8667dd14e1c45cd966743ce2a0695fbd06810be7c7351e24108cf91ec6bb89e6
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