A Concise Introduction to Decentralized POMDPs Paperback / softback
by Frans A. Oliehoek, Christopher Amato
Part of the SpringerBriefs in Intelligent Systems series
Paperback / softback
Description
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.
Information
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Item not Available
- Format:Paperback / softback
- Pages:134 pages, 22 Illustrations, color; 14 Illustrations, black and white; XX, 134 p. 36 illus., 22 illu
- Publisher:Springer International Publishing AG
- Publication Date:03/06/2016
- Category:
- ISBN:9783319289274
Other Formats
- PDF from £50.99
Information
-
Item not Available
- Format:Paperback / softback
- Pages:134 pages, 22 Illustrations, color; 14 Illustrations, black and white; XX, 134 p. 36 illus., 22 illu
- Publisher:Springer International Publishing AG
- Publication Date:03/06/2016
- Category:
- ISBN:9783319289274
