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A Concise Introduction to Decentralized POMDPs
Frans A. Oliehoek
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Description for A Concise Introduction to Decentralized POMDPs
Paperback. Series: SpringerBriefs in Intelligent Systems. Num Pages: 154 pages, 14 black & white illustrations, 22 colour illustrations, biography. BIC Classification: PBU; TJFM; UYQ. Category: (P) Professional & Vocational. Dimension: 159 x 240 x 13. Weight in Grams: 262.
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.
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.
Product Details
Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG
Condition
New
Series
SpringerBriefs in Intelligent Systems
Number of Pages
134
Place of Publication
Cham, Switzerland
ISBN
9783319289274
SKU
V9783319289274
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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