Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
NameThisGameNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_namethisgame_2222 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use edbeeching/atari_2B_atari_namethisgame_2222 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_namethisgame_2222 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d95d13f64bf200968d6b35cd346d448a318cfdfb0c60f59eac2998c7ab7c620
- Size of remote file:
- 6.98 MB
- SHA256:
- cc47f3a7aace6669c8e54804664f13d32b5940c95a9fcb219d36d3e3113a2837
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