Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use bguan/SpaceInvadersNoFrameskip-v4-2Msteps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use bguan/SpaceInvadersNoFrameskip-v4-2Msteps with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="bguan/SpaceInvadersNoFrameskip-v4-2Msteps", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e63886c560abbe62bcf711a110a2441ee0342f6549dc0993ed638e95a8e1f67b
- Size of remote file:
- 63.3 kB
- SHA256:
- 2835ff93cf759a414aa97243402a03bc75b3d6ad1acaa77b5bf9ff8b1714aba8
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