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:
- 2d97dbc028795c20c2582809ea3ef18572b782f99ce8a977176242ac474eb39f
- Size of remote file:
- 35.6 kB
- SHA256:
- 8593723d339fa9ddedf7277f0b3e132d4a02f293435969596d79b9fa8ba7c84c
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