Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Hwilner/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Hwilner/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Hwilner/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff2e7e1c5537489d9aa656b44e6f2d85b7c3726aa7c2edc23096db266b740509
- Size of remote file:
- 2.62 kB
- SHA256:
- 9a01cb97237d9fe33cd36621038352d5b49025c40789f171e0cc751d647b90f2
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