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SARTRE: a case-based poker web app

Published: 21 July 2012 Publication History

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.

References

[1]
Rubin, J., Watson, I.: Computer poker: A review. Artificial Intelligence, 175(5--6):958--987. (2011).
[2]
Billings, D., Castillo, L, P., Schaeffer, J., Szafron, D.: Using Probabilistic Knowledge and Simulation to Play Poker. In: AAAI/IAAI, pp. 697--703. AAAI Press (1999)
[3]
Billings, D., Davidson, A., Schauenberg, T., Burch, N., Bowling, M., Holte, R. C., Schaeffer, J., Szafron, D.: Game-Tree Search with Adaptation in Stochastic Imperfect-Information Games. In: Computers and Games, 4th International Conference, CG 2004, pp. 21--34. Springer (2004)

Cited By

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  • (2017)Playing real-time strategy games by imitating human players' micromanagement skills based on spatial analysisExpert Systems with Applications: An International Journal10.1016/j.eswa.2016.11.02671:C(192-205)Online publication date: 1-Apr-2017

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Published In

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IE '12: Proceedings of The 8th Australasian Conference on Interactive Entertainment: Playing the System
July 2012
182 pages
ISBN:9781450314107
DOI:10.1145/2336727

Sponsors

  • Auckland University of Technology
  • University of Technology, Sydney: University of Technology, Sydney

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 July 2012

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Author Tags

  1. case-based reasoning
  2. game AI
  3. poker

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  • Demonstration

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IE '12
Sponsor:
  • University of Technology, Sydney

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Overall Acceptance Rate 64 of 148 submissions, 43%

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View all
  • (2017)Playing real-time strategy games by imitating human players' micromanagement skills based on spatial analysisExpert Systems with Applications: An International Journal10.1016/j.eswa.2016.11.02671:C(192-205)Online publication date: 1-Apr-2017

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