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Author Oliehoek, Frans A., author.

Title A concise introduction to decentralized POMDPs / Frans A. Oliehoek, Christopher Amato.

Published Switzerland : Springer, 2016.


Location Call No. Status
Physical description 1 online resource (xx, 134 pages) : illustrations (some color).
Series SpringerBriefs in intelligent systems, Artificial intelligence, multiagent systems, and cognitive robotics, 2196-548X
SpringerBriefs in intelligent systems. Artificial intelligence, multiagent systems, and cognitive robotics.
Springer English/International eBooks 2016 - Full Set
Bibliography Includes bibliographical references.
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.
Summary 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. .
Other author Amato, Christopher, author.
SpringerLink issuing body.
Subject Decision making -- Data processing.
Multiagent systems.
Electronic books.
Electronic books.
ISBN 9783319289298 (electronic bk.)
3319289292 (electronic bk.)
9783319289274 (print)