Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use pryjuli/atari with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use pryjuli/atari with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="pryjuli/atari", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from pryjuli/atari: direct link, hf CLI and curl.
- Browser
- Download file 197 kB
-
https://huggingface.co/pryjuli/atari/resolve/main/replay.mp4
- Command line
-
hf download hf://pryjuli/atari/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/pryjuli/atari/resolve/main/replay.mp4
197 kB
- Xet hash:
- 86115e010b05fc85095679ec20871f8e66b7bc3ac8f27cb5dc39424f13d54c99
- Size of remote file:
- 197 kB
- SHA256:
- d4dd341db85423d51278b722fb8d3096b3ab7af1fde55c37bb3935ad8e41d61d
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