Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jimmer240/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jimmer240/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jimmer240/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 308d4f782a3563549ba9b6c88f5a414aab2292687e7d3be17a3fb035f0d00f31
- Size of remote file:
- 2.66 kB
- SHA256:
- 70ee2462e816a1587930d96a3d373bb559e16b7111cab151b87e11c9d35fc982
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