A Concise Introduction to Decentralized POMDPs

  • Frans A. Oliehoek
  • Christopher Amato

Part of the SpringerBriefs in Intelligent Systems book series (BRIEFSINSY)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Frans A. Oliehoek, Christopher Amato
    Pages 1-9
  3. Frans A. Oliehoek, Christopher Amato
    Pages 11-32
  4. Frans A. Oliehoek, Christopher Amato
    Pages 33-40
  5. Frans A. Oliehoek, Christopher Amato
    Pages 41-53
  6. Frans A. Oliehoek, Christopher Amato
    Pages 55-67
  7. Frans A. Oliehoek, Christopher Amato
    Pages 69-77
  8. Frans A. Oliehoek, Christopher Amato
    Pages 79-89
  9. Frans A. Oliehoek, Christopher Amato
    Pages 91-114
  10. Frans A. Oliehoek, Christopher Amato
    Pages 115-116
  11. Back Matter
    Pages 117-134

About this book

Introduction

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. 

Keywords

Agents Decentralized Control Dynamic Programming Heuristics Markov Decision Processes Multiagent Planning Multiagent Systems Operations Research Optimization POMDPs Reinforcement Learning Search Uncertainty

Authors and affiliations

  • Frans A. Oliehoek
    • 1
  • Christopher Amato
    • 2
  1. 1.School of Elect Eng, Electr & CSUniversity of LiverpoolLiverpoolUnited Kingdom
  2. 2.Intelligence Lab, G472MIT, Comp Sci & ArtificialCambridgeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-28929-8
  • Copyright Information The Author(s) 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-28927-4
  • Online ISBN 978-3-319-28929-8
  • Series Print ISSN 2196-548X
  • Series Online ISSN 2196-5498
  • About this book
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