[PDF.04zb] A Concise Introduction to Decentralized POMDPs (SpringerBriefs in Intelligent Systems)
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A Concise Introduction to Decentralized POMDPs (SpringerBriefs in Intelligent Systems)
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| #3587961 in Books | 2016-06-03 | 2016-06-14 | Original language:English | PDF # 1 | 9.25 x.37 x6.10l,.0 | File type: PDF | 134 pages||From the Back Cover||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 artifi
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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