Hexagon-based Q-learning to find a hidden target object
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoon, H.-U. | - |
dc.contributor.author | Sim, K.-B. | - |
dc.date.accessioned | 2022-01-11T02:41:05Z | - |
dc.date.available | 2022-01-11T02:41:05Z | - |
dc.date.issued | 2005-12 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/53204 | - |
dc.description.abstract | This 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.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | Hexagon-based Q-learning to find a hidden target object | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/11596448_63 | - |
dc.identifier.bibliographicCitation | COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 1, PROCEEDINGS, v.3801, pp 428 - 433 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000234873700063 | - |
dc.identifier.scopusid | 2-s2.0-33646827684 | - |
dc.citation.endPage | 433 | - |
dc.citation.startPage | 428 | - |
dc.citation.title | COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 1, PROCEEDINGS | - |
dc.citation.volume | 3801 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.publisher.location | 독일 | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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