Please use this identifier to cite or link to this item: http://lib.hpu.edu.vn/handle/123456789/25973
Title: A Concise Introduction to Decentralized POMDPs
Authors: Oliehoek, Frans A.
Amato, Christopher
Keywords: Decentralized POMDPs
Decentralized partially observable Markov decision processes
Intelligent Systems
Issue Date: 2016
Publisher: Springer
Abstract: 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.
URI: https://lib.hpu.edu.vn/handle/123456789/25973
ISBN: 978-3-319-28927-4
978-3-319-28929-8
Appears in Collections:Technology

Files in This Item:
File Description SizeFormat 
195_A_Concise_Introduction_to_Decentralized_POMDPs.pdf
  Restricted Access
2.37 MBAdobe PDFThumbnail
View/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.