A Concise Introduction to Decentralized POMDPs

• Κύριοι συγγραφείς: Oliehoek, Frans A. (Συγγραφέας), Amato, Christopher (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.