Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use KrishBakshi/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use KrishBakshi/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="KrishBakshi/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbb7ba8c2e63e9784171ad061fb73241b643cb58e42abf9ac6af0ff0a1e0a351
- Size of remote file:
- 2.96 kB
- SHA256:
- 3637360f610187f1ed3edb9966953b59555e714c743a6743d25c8a49fede5969
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