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.
€74.89
Tabla de materias
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.¡Compre este libro electrónico y obtenga 1 más GRATIS!
Idioma Inglés ● Formato PDF ● Páginas 134 ● ISBN 9783319289298 ● Tamaño de archivo 2.5 MB ● Editorial Springer International Publishing ● Ciudad Cham ● País CH ● Publicado 2016 ● Descargable 24 meses ● Divisa EUR ● ID 4902070 ● Protección de copia DRM social
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