Title

Monte Carlo Approaches to Parameterized Poker Squares

Roles

Student Authors:

Zuozhi Yang '17, Gettysburg College

Colin M. Messinger '17, Gettysburg College

Document Type

Conference Proceeding

Publication Date

6-29-2016

Department

Computer Science

Abstract

The paper summarized a variety of Monte Carlo approaches employed in the top three performing entries to the Parameterized Poker Squares NSG Challenge competition. In all cases AI players benefited from real-time machine learning and various Monte Carlo game-tree search techniques.

Comments

Presented during the 9th International Conference on Computers and Games on June 29th, 2016.