Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Spydurp/SpaceInvaders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Spydurp/SpaceInvaders with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Spydurp/SpaceInvaders", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d088972718a38af68ce8f3ee275a3f02e6312df4704e4e595d3e007f6d4e9b66
- Size of remote file:
- 27.2 MB
- SHA256:
- 53ceab2c2d60dd7e657bb8f74e05a938f64b0502b90d4c7302dc24274e114862
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