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03151nam a22005415i 4500 |
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978-3-319-28929-8 |
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DE-He213 |
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20210617080059.0 |
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160603s2016 gw | s |||| 0|eng d |
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|a 9783319289298
|9 978-3-319-28929-8
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|a 10.1007/978-3-319-28929-8
|2 doi
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|a Q334-342
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|a Oliehoek, Frans A.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a A Concise Introduction to Decentralized POMDPs
|h [electronic resource] /
|c by Frans A. Oliehoek, Christopher Amato.
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| 250 |
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|a 1st ed. 2016.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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| 300 |
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|a XX, 134 p. 36 illus., 22 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,
|x 2196-548X
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| 505 |
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|a 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.
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| 520 |
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|a 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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|a Artificial intelligence.
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| 650 |
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|a Control engineering.
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| 650 |
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|a Robotics.
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| 650 |
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|a Mechatronics.
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| 650 |
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|a Mathematical optimization.
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| 650 |
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|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
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| 650 |
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|a Control, Robotics, Mechatronics.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T19000
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| 650 |
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|a Optimization.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M26008
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| 700 |
1 |
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|a Amato, Christopher.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783319289274
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| 776 |
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|i Printed edition:
|z 9783319289281
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| 830 |
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|a SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,
|x 2196-548X
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-319-28929-8
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| 912 |
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-SXCS
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
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