Building a computer poker agent with emphasis on opponent modeling
Name
870268721-MIT.pdf
Description
Full printable version
Size
1.37 MB
Format
Adobe PDF
Checksum (MD5)
e37118ace145cb0a38c265d7c5327d27
Author(s)
Huang, Jian, M. Eng. Massachusetts Institute of Technology
Advisor(s)
Leslie P. Kaelbling.
Date Issued
2012
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis, we present a computer agent for the game of no-limit Texas Hold'em Poker for two players. Poker is a partially observable, stochastic, multi-agent, sequential game. This combination of characteristics makes it a very challenging game to master for both human and computer players. We explore this problem from an opponent modeling perspective, using data mining to build a database of player styles that allows our agent to quickly model the strategy of any new opponent. The opponent model is then used to develop a robust counter strategy. A simpler version of this agent modified for a three player game was able to win the 2011 MIT Poker Bot Competition.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 53-54).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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