Deep recurrent Q-learning for energy-constrained coverage with a mobile robot

Aaron Zellner; Ayan Dutta; Iliya Kulbaka; Gokarna Sharma

doi:10.1007/s00521-023-08735-2

Deep recurrent Q-learning for energy-constrained coverage with a mobile robot

Aaron Zellner, Ayan Dutta, Iliya Kulbaka, Gokarna Sharma

School of Computing

Producción científica: Article › revisión exhaustiva

Idioma original	English
Páginas (desde-hasta)	19087-19097
Número de páginas	11
Publicación	Neural Computing and Applications
Volumen	35
N.º	26
DOI	https://doi.org/10.1007/s00521-023-08735-2
Estado	Published - sept 2023

ASJC Scopus Subject Areas

Software
Artificial Intelligence

Acceder al documento

10.1007/s00521-023-08735-2

Otros archivos y enlaces

Citar esto

@article{302be0cfd0174adbb595c10a9871b6c2,

title = "Deep recurrent Q-learning for energy-constrained coverage with a mobile robot",

keywords = "Coverage, Deep Q-learning, Energy constraint, Mobile robot, Recurrent neural networks",

author = "Aaron Zellner and Ayan Dutta and Iliya Kulbaka and Gokarna Sharma",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.",

year = "2023",

month = sep,

doi = "10.1007/s00521-023-08735-2",

language = "English",

volume = "35",

pages = "19087--19097",

number = "26",

}

TY - JOUR

T1 - Deep recurrent Q-learning for energy-constrained coverage with a mobile robot

AU - Zellner, Aaron

AU - Dutta, Ayan

AU - Kulbaka, Iliya

AU - Sharma, Gokarna

PY - 2023/9

Y1 - 2023/9

KW - Coverage

KW - Deep Q-learning

KW - Energy constraint

KW - Mobile robot

KW - Recurrent neural networks

UR - http://www.scopus.com/inward/record.url?scp=85162040746&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85162040746&partnerID=8YFLogxK

U2 - 10.1007/s00521-023-08735-2

DO - 10.1007/s00521-023-08735-2

M3 - Article

AN - SCOPUS:85162040746

SN - 0941-0643

VL - 35

SP - 19087

EP - 19097

JO - Neural Computing and Applications

JF - Neural Computing and Applications

IS - 26

ER -