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A Concise Introduction to Decentralized POMDPs (SpringerBriefs in Intelligent Systems)

Frans A. Oliehoek, Christopher Amato




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 | #779570 in Books |  2016-06-14 |  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. 



You easily download any file type for your device.A Concise Introduction to Decentralized POMDPs (SpringerBriefs in Intelligent Systems)   |  Frans A. Oliehoek, Christopher Amato. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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