A Concise Introduction to Decentralized POMDPs

• Main Authors: Oliehoek, Frans A. (Author), Amato, Christopher (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,
• Subjects: Computer science.; Artificial intelligence.; Mathematical optimization.; Control engineering.; Robotics.; Mechatronics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Control, Robotics, Mechatronics.; Optimization.

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...

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.