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A Concise Introduction to Decentralized POMDPs

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: re...

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Bibliographic Details
Main Authors: Oliehoek, Frans A., Amato, Christopher (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2016, 2016
Edition:1st ed. 2016
Series:SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics
Subjects:
Mechatronics
Optimization
Control, Robotics, Mechatronics
Artificial Intelligence
Control Engineering
Robotics
Mathematical Optimization
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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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