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A Concise Introduction to Decentralized POMDPs

A Concise Introduction to Decentralized POMDPs by Frans A. Oliehoek
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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. 

Springer International Publishing; June 2016
146 pages; ISBN 9783319289298
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Title: A Concise Introduction to Decentralized POMDPs
Author: Frans A. Oliehoek; Christopher Amato
 
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