Multiagent Q-learning based UAV trajectory planning for effective situational awareness

dc.contributor.author	Akin, Erdal
dc.contributor.author	Demir, Kubilay
dc.contributor.author	Yetgin, Halil
dc.date.accessioned	16/12/21 12:06
dc.date.available	16/12/21 12:06
dc.date.issued	2021
dc.identifier.issn	1300-0632
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9880
dc.identifier.uri	https://doi.org/10.3906/elk-2012-41
dc.description.abstract	In the event of a natural disaster, arrival time of the search and rescue (SAR) teams to the affected areas is of vital importance to save the life of the victims. In particular, when an earthquake occurs in a geographically large area, reconnaissance of
dc.description.sponsorship	Slovenian Research AgencySlovenian Research Agency - Slovenia [P2-0016]
dc.language.iso	English
dc.publisher	Tubıtak Scıentıfıc & Technıcal Research Councıl Turkey
dc.rights	Bronze
dc.source	Turkısh Journal Of Electrıcal Engıneerıng And Computer Scıences
dc.title	Multiagent Q-learning based UAV trajectory planning for effective situational awareness
dc.type	Article
dc.identifier.issue	5
dc.identifier.startpage	2561
dc.identifier.endpage	2579
dc.identifier.doi	10.3906/elk-2012-41
dc.identifier.wos	WOS:000703608400007
dc.identifier.volume	29

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