Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use csshali/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use csshali/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="csshali/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6638d4a14ab7acd403fcbf1f1e97d0e8162cef243fc7feb3bf9df8f06742f296
- Size of remote file:
- 2.65 kB
- SHA256:
- f2e0f32abadda89608f4a86d60ac8569a05b4b85b0e32bb550a2c2fc35a19867
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