Knocking in the Game of Gin Rummy

Ryzeson C. Maravich, Taylor C. Neller, Todd W. Neller

AAAI 2021 pp. 15600-15606

doi:10.1609/AAAI.V35I17.17837 /aaai/2021/maravich2021aaai-knocking/

Abstract

We perform an empirical study of Gin Rummy knocking strategies, drawing insight from a population of AI players that vary in both discarding and knocking strategies. For our best performing player, simple linear regression yielded a knocking strategy that both affirmed the features expert players give attention to in making knock decisions, and yet called into question the way such features are conventionally used.

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Cite

Text

Maravich et al. "Knocking in the Game of Gin Rummy." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I17.17837

Markdown

[Maravich et al. "Knocking in the Game of Gin Rummy." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/maravich2021aaai-knocking/) doi:10.1609/AAAI.V35I17.17837

BibTeX

@inproceedings{maravich2021aaai-knocking,
  title     = {{Knocking in the Game of Gin Rummy}},
  author    = {Maravich, Ryzeson C. and Neller, Taylor C. and Neller, Todd W.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {15600-15606},
  doi       = {10.1609/AAAI.V35I17.17837},
  url       = {https://mlanthology.org/aaai/2021/maravich2021aaai-knocking/}
}