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A Concise Introduction to Decentralized POMDPs: 0 (SpringerBriefs in Intelligent Systems) - Tapa blanda

Oliehoek, Frans A. A.; Amato, Christopher

 
9783319289274: A Concise Introduction to Decentralized POMDPs: 0 (SpringerBriefs in Intelligent Systems)

Sinopsis

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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De la contraportada

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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