Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
GopherNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_gopher_3333 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use edbeeching/atari_2B_atari_gopher_3333 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_gopher_3333 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c836715cfb89f2bf6e2a5d188069b677cda5b9bfe6bc40df8a9e2a4b77ecf73f
- Size of remote file:
- 6.99 MB
- SHA256:
- 4a5fa439a3210ef7b6a909ad81e63f8c0e2d74ca91bcd488e946597286eddf1c
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