A Concise Introduction to Decentralized POMDPs
Springer Nature Switzerland
ISBN 978-3-319-28929-8
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Bibliografische Daten
eBook. PDF
2016
XX, 134 p. 36 illus., 22 illus. in color..
In englischer Sprache
Umfang: 134 S.
Verlag: Springer Nature Switzerland
ISBN: 978-3-319-28929-8
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: SpringerBriefs in Intelligent Systems
Produktbeschreibung
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.
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