AAAI2021

Knocking in the Game of Gin Rummy

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

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.