Reinforcement Learning
stable-baselines3
BeamRiderNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/a2c-BeamRiderNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/a2c-BeamRiderNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/a2c-BeamRiderNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c3eb110804cbc443bf449f99ae05c37382f621a45825f8b3b2152fd3307003c
- Size of remote file:
- 391 kB
- SHA256:
- ef0ca925a8b24d24cab540e23301b5d69f0c6bff047ef9a8bf375aab7ab2366f
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