Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use JuneV/SpaceInvadersModel_RL_Course with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use JuneV/SpaceInvadersModel_RL_Course with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="JuneV/SpaceInvadersModel_RL_Course", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31bc7977089b0a49541b20cb8583871de2f795d533dbf594e24090e8d4fa2a12
- Size of remote file:
- 27.2 MB
- SHA256:
- bda1ab73c94da1d38b42e6132bc084c5c187d799c06028c36fa659cea3a91f3e
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