A Memory-Based Approach to Two-Player Texas Hold’em

  • Jonathan Rubin
  • Ian Watson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5866)

Abstract

A Case-Based Reasoning system, nicknamed SARTRE, that uses a memory-based approach to play two-player, limit Texas Hold’em is introduced. SARTRE records hand histories from strong players and attempts to re-use this information to handle novel situations. SARTRE’S case features and their representations are described, followed by the results obtained when challenging a world-class computerised opponent. Our experimental methodology attempts to address how well SARTRE’S performance can approximate the performance of the expert player, who SARTRE originally derived the experience-base from.

Keywords

Computer Poker Game-AI Case-Based Reasoning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jonathan Rubin
    • 1
  • Ian Watson
    • 1
  1. 1.Department of Computer ScienceUniversity of AucklandNew Zealand

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