Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use webjdi/SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use webjdi/SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="webjdi/SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d3cc698a90c7b7b8e44f0400d03bd6a709a8bac148b4b5bda64b25e09c7f56f
- Size of remote file:
- 35.5 kB
- SHA256:
- 46e7c52407364045db2b966e793580eec1f2e44c4ccbf9a3d6aec1a12dcafd87
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