Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Atharva1232/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Atharva1232/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Atharva1232/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d26c94679cf98f4e575ecda4b450c15a1759357434a7388bf74cb7c01c0c5e3
- Size of remote file:
- 2.71 kB
- SHA256:
- 6495b9e438ac7c2e4b41d4922e3b1d9aaee63801a1665b0038b7cb18082b6e51
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