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Oliehoek, Frans A.

A Concise Introduction to Decentralized POMDPs by Frans A Oliehoek, Christopher Amato - Cham Springer International Publishing 2016 - 1 recurso en línea (XX, 134 páginas) 36 ilustraciones, 22 ilustraciones en color - SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics 2196-548X .

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.

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. .

ISBN: 9783319289298

Subjects--Topical Terms:
Inteligencia artificial
Optimización matemática

LC Class. No.: T57.95 / O454 2016

Dewey Class. No.: 006.3