Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Mtc2/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Mtc2/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Mtc2/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit ·
43b4981
1
Parent(s): 12c22af
Add link to Panda Gym paper (#1)
Browse files- Add link to Panda Gym paper (83caa21493589fafd23d456b44c23334a69287aa)
Co-authored-by: Quentin Gallouédec <qgallouedec@users.noreply.huggingface.co>