Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Diyorbeklaw/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Diyorbeklaw/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Diyorbeklaw/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c088cc8b1ea7a96ffee517af402f34bc34551025fb1fb1da483b62066871292
- Size of remote file:
- 2.71 kB
- SHA256:
- ef5b36c915f28af9d6b224211cb2e47b82f7ed9e5b42a83c1131b7afd87f03e5
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