Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use pudashi/Atari_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use pudashi/Atari_small with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="pudashi/Atari_small", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9303b90b3e8ecbbd659a20ca8c89a60542139c87386414a53334a19c2df77466
- Size of remote file:
- 5.77 kB
- SHA256:
- 578096dd61e871ed443b49f5d19f23b8aa4880e3bad0ed8c9c14c6a817981b34
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