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Reducing Computational Cost During Robot Navigation and Human–Robot Interaction with a Human-Inspired Reinforcement Learning Architecture

Bibliographic Data

ID21199851
AuthorsRémi Dromnelle (0000-0002-7322-2523, Centre National de la Recherche Scientifique), Erwan Renaudo (0000-0003-3282-8972, Universität Innsbruck), Mohamed Chétouani (0000-0002-2920-4539, Centre National de la Recherche Scientifique), Petros Maragos (0000-0003-0534-2707, National Technical University of Athens), Raja Chatila (0000-0001-7822-0634, Centre National de la Recherche Scientifique), Benoît Girard (0000-0002-8117-7064, Centre National de la Recherche Scientifique), Mehdi Khamassi (0000-0002-2515-1046, Centre National de la Recherche Scientifique, corresponding author)
Year2023
Volume15
Issue8
Pages1297-1323
Publication date2023-08-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Social Robotics (JOURNAL)
Journal identifiersISSN: 1875-4791 • E-ISSN: 1875-4805
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s12369-022-00942-6
OpenAlexW4307651293
LanguageEN
References cited53

Cognition · Cognitive architecture · Human–computer interaction · Machine learning · Mobile robot · Reinforcement learning · Robot · Robot learning · Robotics · Computer Science · Engineering · Neural dynamics and brain function · Reinforcement Learning in Robotics · Robot Manipulation and Learning · Artificial Intelligence

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