Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use 97jmlr/a2cAnt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use 97jmlr/a2cAnt with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="97jmlr/a2cAnt", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 833e33a3540040c19d2fc605ba5244292553d6012af03cd7b586eeeceb0be680
- Size of remote file:
- 2.38 kB
- SHA256:
- 7189840e68a66dd5db582ef47274faa7d41373344edc3b7ef73834f055893a09
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