Reinforcement Learning
stable-baselines3
QbertNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/a2c-QbertNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/a2c-QbertNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/a2c-QbertNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c65836da42b45c76726d2325a9b2ba7803629c09b3c97b81773e51973dc06b2
- Size of remote file:
- 13.7 MB
- SHA256:
- 9557a5599fcf9da6c679046e88266194f5b80a0bda23c50f79dc2c04f434f5d6
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