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Frans A. Oliehoek & Christopher Amato
A Concise Introduction to Decentralized POMDPs [PDF ebook]

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Обложка Frans A. Oliehoek & Christopher Amato: A Concise Introduction to Decentralized POMDPs (PDF)

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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Содержание

Multiagent Systems Under Uncertainty.- The Decentralized POMDP Framework.- Finite-Horizon Dec-POMDPs.- Exact Finite-Horizon Planning Methods.- Approximate and Heuristic Finite-Horizon Planning Methods.- Infinite-Horizon Dec-POMDPs.- Infinite-Horizon Planning Methods: Discounted Cumulative Reward.- Infinite-Horizon Planning Methods: Average Reward.- Further Topics.

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язык английский ● Формат PDF ● страницы 134 ● ISBN 9783319289298 ● Размер файла 2.5 MB ● издатель Springer International Publishing ● город Cham ● Страна CH ● опубликованный 2016 ● Загружаемые 24 месяцы ● валюта EUR ● Код товара 4902070 ● Защита от копирования Социальный DRM

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