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Oliehoek / Amato

A Concise Introduction to Decentralized POMDPs

1st ed. 2016. Buch. xx, 134 S. Softcover
Springer ISBN 978-3-319-28927-4
Format (B x L): 15,5 x 23,5 cm
Gewicht: 250 g
In englischer Sprache
Das Werk ist Teil der Reihe:
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.

Audience

Research

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Webcode: beck-shop.de/bjqkez
First book dedicated to this topic Suitable for researchers and graduate students in AI Assumes prior familiarity with agents, probability, and game theory