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 |
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File | Description | Size | Format | |
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195_A_Concise_Introduction_to_Decentralized_POMDPs.pdf Restricted Access | 2.37 MB | Adobe PDF | ![]() View/Open Request a copy |
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