Building a computer poker agent with emphasis on opponent modeling
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2012.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1721.1/85390 |
| _version_ | 1826203728621862912 |
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| author | Huang, Jian, M. Eng. Massachusetts Institute of Technology |
| author2 | Leslie P. Kaelbling. |
| author_facet | Leslie P. Kaelbling. Huang, Jian, M. Eng. Massachusetts Institute of Technology |
| author_sort | Huang, Jian, M. Eng. Massachusetts Institute of Technology |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2012. |
| first_indexed | 2024-09-23T12:42:08Z |
| format | Thesis |
| id | mit-1721.1/85390 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T12:42:08Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/853902019-04-11T05:33:41Z Building a computer poker agent with emphasis on opponent modeling Huang, Jian, M. Eng. Massachusetts Institute of Technology Leslie P. Kaelbling. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. 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. 2014-03-06T15:38:36Z 2014-03-06T15:38:36Z 2012 2012 Thesis http://hdl.handle.net/1721.1/85390 870268721 eng 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 54 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Huang, Jian, M. Eng. Massachusetts Institute of Technology Building a computer poker agent with emphasis on opponent modeling |
| title | Building a computer poker agent with emphasis on opponent modeling |
| title_full | Building a computer poker agent with emphasis on opponent modeling |
| title_fullStr | Building a computer poker agent with emphasis on opponent modeling |
| title_full_unstemmed | Building a computer poker agent with emphasis on opponent modeling |
| title_short | Building a computer poker agent with emphasis on opponent modeling |
| title_sort | building a computer poker agent with emphasis on opponent modeling |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/85390 |
| work_keys_str_mv | AT huangjianmengmassachusettsinstituteoftechnology buildingacomputerpokeragentwithemphasisonopponentmodeling |