A Q-Learning Hyper-Heuristic for UAV Swarming

Reference : A Q-Learning Hyper-Heuristic for UAV Swarming


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/46506

Title :	A Q-Learning Hyper-Heuristic for UAV Swarming
Language :	English
Author, co-author :	Duflo, Gabriel [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PCOG >]
	Danoy, Grégoire [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Talbi, El-Ghazali [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Publication date :	2020
Number of pages :	3
Peer reviewed :	Yes
Audience :	International
Event name :	OLA'2020 Int. Conference on Optimization and Learning
Event date :	from 17-02-2020 to 19-02-2020
Event place (city) :	Cadiz
Event country :	Spain
Permalink :	http://hdl.handle.net/10993/46506

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