Paper published in a book (Scientific congresses, symposiums and conference proceedings)
A Q-Learning Based Hyper-Heuristic for Generating Efficient UAV Swarming Behaviours
Duflo, Gabriel; Danoy, Grégoire; Talbi, El-Ghazali et al.
2021In Intelligent Information and Database Systems - 13th Asian Conference ACIIDS 2021, Phuket, Thailand, April 7-10, 2021, Proceedings
Peer reviewed
 

Files


Full Text
ACIIDS2021-2.pdf
Author postprint (384.61 kB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Computer science
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)
External co-authors :
yes
Language :
English
Title :
A Q-Learning Based Hyper-Heuristic for Generating Efficient UAV Swarming Behaviours
Publication date :
2021
Event name :
Asian Conference on Intelligent Information and Database Systems (ACIIDS)
Event date :
April 7–10 2021
Audience :
International
Main work title :
Intelligent Information and Database Systems - 13th Asian Conference ACIIDS 2021, Phuket, Thailand, April 7-10, 2021, Proceedings
Publisher :
Springer
Collection name :
Lecture Notes in Computer Science
Pages :
768--781
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 16 December 2021

Statistics


Number of views
133 (32 by Unilu)
Number of downloads
4 (3 by Unilu)

Bibliography


Similar publications



Contact ORBilu