Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
GravitarNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_gravitar_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_gravitar_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_gravitar_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 581d493ff292f193323af5dbbccd404f3624df9f0b9bf6211ed3786fa56e6c87
- Size of remote file:
- 7.01 MB
- SHA256:
- 0982a54187eb6b52b2d476a926dba97645ea92828e8c9508bbf5975831711917
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