A Concise Introduction to Decentralized POMDPs

• Κύριοι συγγραφείς: Oliehoek, Frans A. (Συγγραφέας), Amato, Christopher (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,
• Θέματα: Computer science.; Artificial intelligence.; Mathematical optimization.; Control engineering.; Robotics.; Mechatronics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Control, Robotics, Mechatronics.; Optimization.
• Φυσική περιγραφή: XX, 134 p. 36 illus., 22 illus. in color. online resource.
• ISBN: 9783319289298
• ISSN: 2196-548X

This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The intended audience is researchers and graduate students working in the fields of artificial intelligence related to sequential decision making: reinforcement learning, decision-theoretic planning for single agents, classical multiagent planning, decentralized control, and operations research. .