About: Online Learning Methods for Border Patrol Resource Allocation

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007/978-3-319-12601-2_20
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. 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. (en)
Title	Online Learning Methods for Border Patrol Resource Allocation Online Learning Methods for Border Patrol Resource Allocation (en)
skos:prefLabel	Online Learning Methods for Border Patrol Resource Allocation Online Learning Methods for Border Patrol Resource Allocation (en)
skos:notation	RIV/68407700:21230/14:00225027!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita	V
http://linked.open...avai/riv/aktivity	V
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Klíma, Richard Lisý, Viliam
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	34592
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/14:00225027
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	security; online learning; multi-armed bandit problem; border patrol; resource allocation; UCB; EXP3 (en)
http://linked.open.../riv/klicoveSlovo	resource allocation online learning security EXP3 UCB border patrol multi-armed bandit problem
http://linked.open...ontrolniKodProRIV	[EDE1B4F70863]
http://linked.open...v/mistoKonaniAkce	Los Angeles
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Decision and Game Theory for Security
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Lisý, Viliam Kiekintveld, Ch. Klíma, Richard
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000345594300020
http://linked.open.../riv/zahajeniAkce	2014-11-06 (xsd:date)
issn	0302-9743
number of pages	10 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-319-12601-2_20
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-319-12600-5
http://localhost/t...ganizacniJednotka	21230

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