A Concise Introduction to Decentralized POMDPs
Title:
A Concise Introduction to Decentralized POMDPs
Author:
Oliehoek, Frans A. author.
ISBN:
9783319289298
Personal Author:
Physical Description:
XX, 134 p. 36 illus., 22 illus. in color. online resource.
Series:
SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,
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.
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. .
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Electronic Access:
https://doi.org/10.1007/978-3-319-28929-8