£54.99

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

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Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
07 September 2016
Listed Since
08 December 2015

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