Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Kedar1977/a2c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Kedar1977/a2c with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Kedar1977/a2c", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3da003410f53f821ae87a4bcd96b0ddc65bb2e43b36c012907ac22ad7ca1a6a6
- Size of remote file:
- 2.66 kB
- SHA256:
- 49083e81c8d29bfbcde8a81fb72fafa800f5b7d91f99e1a5a2b267266b8aa009
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