SARTRE: a case-based poker web app

Authors:
Ian Watson;Jonathan Rubin;Glen Robertson
Affiliations:
University of Auckland;University of Auckland;University of Auckland
Venue:
Proceedings of The 8th Australasian Conference on Interactive Entertainment: Playing the System
Year:
2012

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Abstract

In this paper, we present a web implementation of a poker bot, called SARTRE, which uses case-based reasoning to play Texas Hold'em poker. SARTRE uses a memory-based approach to create a betting strategy for two-player, limit Texas Hold'em. Hand histories from strong poker players are observed and encapsulated as cases that capture specific game state information. Betting decisions are generalised by retrieving and re-using solutions from previous similar situations. SARTRE participated in the 2009, 2010 and 2011 IJCAI Computer Poker Competition's where the system was thoroughly evaluated by challenging a range of other computerised opponents. SARTRE can now be challenged online.