ISBN-10:
3319289276
ISBN-13:
9783319289274
Pub. Date:
06/03/2016
Publisher:
Springer International Publishing
A Concise Introduction to Decentralized POMDPs

A Concise Introduction to Decentralized POMDPs

by Frans A. Oliehoek, Christopher Amato

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Overview

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.

Product Details

ISBN-13: 9783319289274
Publisher: Springer International Publishing
Publication date: 06/03/2016
Series: SpringerBriefs in Intelligent Systems
Edition description: 1st ed. 2016
Pages: 134
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of 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.

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