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:
- 67db5a06236f2d388e51d426d0aa281643167efb3f279a2ea7507d226a2807db
- Size of remote file:
- 207 kB
- SHA256:
- 721039fa7b7660af722ba97bc35b294de1dcc86163d7fd2bd3f2de52bb1ce62f
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