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A concise introduction to decentralized POMDPs [electronic resource] / Frans A. Oliehoek, Christopher Amato.

Oliehoek, Frans A., author.; Amato, Christopher, author.
2016
T57.95
Available Online
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Title
A concise introduction to decentralized POMDPs [electronic resource] / Frans A. Oliehoek, Christopher Amato.
Author
Oliehoek, Frans A., author.
ISBN
9783319289298 (electronic book)
3319289292 (electronic book)
9783319289274
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource (xx, 134 pages) : illustrations.
Call Number
T57.95
Dewey Decimal Classification
658.4/032
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. .
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 15, 2016).
Added Author
Amato, Christopher, author.
Series
SpringerBriefs in intelligent systems. Artificial intelligence, multiagent systems, and cognitive robotics.
Available in Other Form
A Concise Introduction to Decentralized POMDPs
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Record Appears in
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All Resources
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.

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