Using Correlated Strategies for Computing Stackelberg Equilibria in Extensive-form Games
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00307067" target="_blank" >RIV/68407700:21230/16:00307067 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/citation.cfm?id=3015879" target="_blank" >https://dl.acm.org/citation.cfm?id=3015879</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Using Correlated Strategies for Computing Stackelberg Equilibria in Extensive-form Games
Original language description
Strong Stackelberg Equilibrium (SSE) is a fundamental solution concept in game theory in which one player commits to a strategy, while the other player observes this commitment and plays a best response. We present a new algorithm for computing SSE for two-player extensive-form general-sum games with imperfect information (EFGs) where computing SSE is an NP-hard problem. Our algorithm is based on a correlated version of SSE, known as Stackelberg Extensive-Form Correlated Equilibrium (SEFCE). Our contribution is therefore twofold: (1) we give the first linear program for computing SEFCE in EFGs without chance, (2) we repeatedly solve and modify this linear program in a systematic search until we arrive to SSE. Our new algorithm outperforms the best previous algorithms by several orders of magnitude.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA15-23235S" target="_blank" >GA15-23235S: Abstractions and Extensive-Form Games with Imperfect Recall</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
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'16 Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
ISBN
978-1-57735-760-5
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
439-445
Publisher name
AAAI Press
Place of publication
Menlo Park
Event location
Phoenix
Event date
Feb 12, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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