A Concise Introduction To Decentralized Pomdps by Frans A. OliehoekA Concise Introduction To Decentralized Pomdps by Frans A. Oliehoek

A Concise Introduction To Decentralized Pomdps

byFrans A. Oliehoek, Christopher Amato

Paperback | June 14, 2016

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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. 

Title:A Concise Introduction To Decentralized PomdpsFormat:PaperbackDimensions:134 pagesPublished:June 14, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319289276

ISBN - 13:9783319289274

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Table of Contents

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.