Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Emperor-WS/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Emperor-WS/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Emperor-WS/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit History
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Add link to Panda Gym paper (#1)
- Add link to Panda Gym paper (83d83a6146fa9005fd014f1b76fd18f2b2f685be) Co-authored-by: Quentin Gallouédec <qgallouedec@users.noreply.huggingface.co>a08dcdb
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Initial commit
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initial commit
b629dc3