Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use aadickk/RL-3-12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use aadickk/RL-3-12 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="aadickk/RL-3-12", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 328da53d709bc2daf6cbed1902396d9960ff8721426eba647096e1dca621a75d
- Size of remote file:
- 36.3 kB
- SHA256:
- 3f794dd6ec444bf721f3f250e2a81e190df5b4c2a6c83c84391417c1d5749c28
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