A Concise Introduction to Decentralized POMDPsThis 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.ISBN: 9783319289274, 3319289276
A Concise Introduction to Decentralized POMDPs Ebook (djibook.shop)
$10.00
Frans A. Oliehoek; Christopher Amato
Category: 2016
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