Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Ditrip/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Ditrip/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Ditrip/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit ·
fbcb570
1
Parent(s): f6856b3
Add link to Panda Gym paper (#1)
Browse files- Add link to Panda Gym paper (01742bb569f4efe1547379d829d99a43fca53ea7)
Co-authored-by: Quentin Gallouédec <qgallouedec@users.noreply.huggingface.co>