A Highly-Parameterized Ensemble to Play Gin Rummy


  • Masayuki Nagai DePauw University
  • Kavya Shrivastava DePauw University
  • Kien Ta DePauw University
  • Steven Bogaerts DePauw University
  • Chad Byers DePauw University


Gin Rummy, Adversarial Games, Games, Ensemble, Genetic Algorithms, Grid Search, Card Games


This paper describes the design and training of a computer Gin Rummy player. The system includes three main components to make decisions about drawing cards, discarding, and ending the game, with numerous parameters controlling behavior. In particular, an ensemble approach is explored in the discard decision. Finally, three sets of parameter tuning and performance experiments are analyzed.




How to Cite

Nagai, M., Shrivastava, K., Ta, K., Bogaerts, S., & Byers, C. (2021). A Highly-Parameterized Ensemble to Play Gin Rummy. Proceedings of the AAAI Conference on Artificial Intelligence, 35(17), 15614-15621. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17839