Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Hexagon-based Q-learning to find a hidden target object

Full metadata record
DC Field Value Language
dc.contributor.authorYoon, H.-U.-
dc.contributor.authorSim, K.-B.-
dc.date.accessioned2022-01-11T02:41:05Z-
dc.date.available2022-01-11T02:41:05Z-
dc.date.issued2005-12-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/53204-
dc.description.abstractThis paper presents the hexagon-based Q-leaning to find a hidden target object with multiple robots. We set up an experimental environment with three small mobile robots, obstacles, and a target object. The robots were out to search for a target object while navigating in a hallway where some obstacles were placed. In this experiment, we used two control algorithms: an area-based action making (ABAM) process to determine the next action of the robots and hexagon-based Q-learning to enhance the area-based action making process.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleHexagon-based Q-learning to find a hidden target object-
dc.typeArticle-
dc.identifier.doi10.1007/11596448_63-
dc.identifier.bibliographicCitationCOMPUTATIONAL INTELLIGENCE AND SECURITY, PT 1, PROCEEDINGS, v.3801, pp 428 - 433-
dc.description.isOpenAccessN-
dc.identifier.wosid000234873700063-
dc.identifier.scopusid2-s2.0-33646827684-
dc.citation.endPage433-
dc.citation.startPage428-
dc.citation.titleCOMPUTATIONAL INTELLIGENCE AND SECURITY, PT 1, PROCEEDINGS-
dc.citation.volume3801-
dc.type.docTypeArticle; Proceedings Paper-
dc.publisher.location독일-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE