Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
NameThisGameNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_namethisgame_1111 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_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_namethisgame_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a72e5f91a3e4ae4e8455bfe43b9991dc6dd1a15d5430808f74bf3c0cd028464
- Size of remote file:
- 2.84 MB
- SHA256:
- 7e3ea699f941eeff3203cf0040192b3989ec4d565c1eeae677480315f801c85a
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