A Concise Introduction to Decentralized POMDPs
A Concise Introduction to Decentralized POMDPs
Contenu
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.
Informations bibliographiques
juin 2016, 134 Pages, SpringerBriefs in Intelligent Systems, Anglais
Springer Nature EN
978-3-319-28927-4