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.
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Spis treści
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.Kup ten ebook, a 1 kolejny otrzymasz GRATIS!
Język Angielski ● Format PDF ● Strony 134 ● ISBN 9783319289298 ● Rozmiar pliku 2.5 MB ● Wydawca Springer International Publishing ● Miasto Cham ● Kraj CH ● Opublikowany 2016 ● Do pobrania 24 miesięcy ● Waluta EUR ● ID 4902070 ● Ochrona przed kopiowaniem Społeczny DRM
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