Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use dcarpintero/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use dcarpintero/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="dcarpintero/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit ·
c0704b1
1
Parent(s): 057e50e
Add link to Panda Gym paper (#1)
Browse files- Add link to Panda Gym paper (e4e6414491b81bc822f6c86c9998326c021fa128)
Co-authored-by: Quentin Gallouédec <qgallouedec@users.noreply.huggingface.co>