Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use QuirogaTo/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use QuirogaTo/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="QuirogaTo/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b798995c1fc9962740b13d6d5f5996c8c1d1f5723ca447de936d6eb9d0679f1
- Size of remote file:
- 2.64 kB
- SHA256:
- 1a4aea253977ce978b1b51975d3f1066c025307f6162b0dcffcbf86a30d25b94
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