Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00235167" target="_blank" >RIV/68407700:21230/15:00235167 - isvavai.cz</a>
Result on the web
<a href="http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9824" target="_blank" >http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9824</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies
Original language description
Many search and security games played on a graph can be modeled as normal-form zero-sum games with strategies consisting of sequences of actions. The size of the strategy space provides a computational challenge when solving these games. This complexityis tackled either by using the compact representation of sequential strategies and linear programming, or by incremental strategy generation of iterative double-oracle methods. In this paper, we present novel hybrid of these two approaches: compact-strategy double-oracle (CS-DO) algorithm that combines the advantages of the compact representation with incremental strategy generation. We experimentally compare CS-DO with the standard approaches and analyze the impact of the size of the support on the performance of the algorithms. Results show that CS-DO dramatically improves the convergence rate in games with non-trivial support
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP202%2F12%2F2054" target="_blank" >GAP202/12/2054: Security Games in Extensive Form</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence and the Twenty-Seventh Innovative Applications of Artificial Intelligence Conference
ISBN
978-1-57735-698-1
ISSN
2159-5399
e-ISSN
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Number of pages
7
Pages from-to
812-818
Publisher name
AAAI Press
Place of publication
Menlo Park
Event location
Hyatt Regency in Austin, Texas
Event date
Jan 25, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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