Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
GopherNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_gopher_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_gopher_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_gopher_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 888c8a951260fa0e86326de9173399c7ce48f6d34b175e35d8efa6b02ce08446
- Size of remote file:
- 6.99 MB
- SHA256:
- 24fa878c73bc4500ad8d5cbb39f0eddaca05273a443efb548353726aa2f56bc9
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