Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Vitao2/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Vitao2/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Vitao2/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f02500a10aa71deed54ba699d72f0c7f22186985b7b8161d4fe96782b15e5925
- Size of remote file:
- 2.65 kB
- SHA256:
- 937145a48fe3dbafa79e35dd831625078e6f1ee26e26b020976b67ff1649dd05
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