A Concise Introduction to Decentralized POMDPs
Frans A. Oliehoek, Christopher Amato (auth.)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.
Categories:
Year:
2016
Edition:
1
Publisher:
Springer International Publishing
Language:
english
Pages:
146
ISBN 10:
3319289292
ISBN 13:
9783319289298
Series:
SpringerBriefs in Intelligent Systems
File:
PDF, 2.32 MB
IPFS:
,
english, 2016
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