Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use DoggoOP/Atari with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DoggoOP/Atari with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DoggoOP/Atari", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from DoggoOP/Atari: direct link, hf CLI and curl.
- Browser
- Download file 587 Bytes
-
https://huggingface.co/DoggoOP/Atari/resolve/main/train_eval_metrics.zip
- Command line
-
hf download hf://DoggoOP/Atari/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/DoggoOP/Atari/resolve/main/train_eval_metrics.zip
587 Bytes
- Xet hash:
- 03e4171e0c8f7d62cdf5d2cfe66673b40d7d3dc0a2ead456454d195d5c9b608f
- Size of remote file:
- 587 Bytes
- SHA256:
- 7ad91a8a7e27cfdfc5806da7f582053af278d6b67e7205b1f20f23221a7d440d
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