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:
- dc732c6376291d4a9781547f327afacda72fcb561830522941fd40ad6de57764
- Size of remote file:
- 6.98 MB
- SHA256:
- 776f0b860bb9697d9d5c58d54a840add3c6d0e01b2b95eb7b790bb210ec9f10f
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