Eqilibrium Approximation Quality of Current No-Limit Poker Bots
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00315590" target="_blank" >RIV/68407700:21230/17:00315590 - isvavai.cz</a>
Result on the web
<a href="https://aaai.org/ocs/index.php/WS/AAAIW17/paper/view/15154" target="_blank" >https://aaai.org/ocs/index.php/WS/AAAIW17/paper/view/15154</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Eqilibrium Approximation Quality of Current No-Limit Poker Bots
Original language description
Approximating a Nash equilibrium is currently the best performing approach for creating poker-playing programs. While for the simplest variants of the game, it is possible to evaluate the quality of the approximation by computing the value of the best response strategy, this is currently not computationally feasible for larger variants of the game, such as heads-up no-limit Texas hold'em. In this paper, we present a simple and computationally inexpensive Local Best Response method for computing an approximate lower bound on the value of the best response strategy. Using this method, we show that existing poker-playing programs, based on solving abstract games, are remarkably poor Nash equilibrium approximations.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
AAAI Workshops
ISBN
9781577357865
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
361-366
Publisher name
AAAI Press
Place of publication
Menlo Park
Event location
San Francisco
Event date
Feb 4, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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