2026-09-19T12:55:35Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/853902026-06-06T00:54:56Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Leslie P. Kaelbling.
Huang, Jian, M. Eng. Massachusetts Institute of Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2014-03-06T15:38:36Z
2014-03-06T15:38:36Z
2012
2012
http://hdl.handle.net/1721.1/85390
870268721
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).
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.
by Jian Huang.
M.Eng.
54 pages
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Building a computer poker agent with emphasis on opponent modeling
Thesis
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