Online Learning Methods for Border Patrol Resource Allocation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00225027" target="_blank" >RIV/68407700:21230/14:00225027 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-12601-2_20" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-12601-2_20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-12601-2_20" target="_blank" >10.1007/978-3-319-12601-2_20</a>
Alternative languages
Result language
angličtina
Original language name
Online Learning Methods for Border Patrol Resource Allocation
Original language description
We introduce a model for border security resource allocation with repeated interactions between attackers and defenders. The defender must learn the optimal resource allocation strategy based on historical apprehension data, balancing exploration and exploitation in the policy. We experiment with several solution methods for this online learning problem including UCB, sliding-window UCB, and EXP3. We test the learning methods against several different classes of attackers including attacker with randomly varying strategies and attackers who react adversarially to the defender's strategy. We present experimental data to identify the optimal parameter settings for these algorithms and compare the algorithms against the different types of attackers.
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
—
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Decision and Game Theory for Security
ISBN
978-3-319-12600-5
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
340-349
Publisher name
Springer
Place of publication
Heidelberg
Event location
Los Angeles
Event date
Nov 6, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000345594300020