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|a Källström, Johan.
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|a Reinforcement Learning for Improved Utility of Simulation-Based Training.
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|a 1st ed.
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|a Linköping :
|b Linkopings Universitet,
|c 2023.
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|c {copy}2023.
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|a 1 online resource (197 pages)
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|a text
|b txt
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|a computer
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|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Linköping Studies in Science and Technology. Dissertations Series ;
|v v.2351
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|a Intro -- ABSTRACT -- POPULÄRVETENSKAPLIG SAMMANFATTNING -- Acknowledgments -- Contents -- List of Figures -- List of Tables -- 1 Introduction -- 2 Background -- Part I Domain Analysis and Concept Design -- 3 User Study -- 4 Learning to Interact and Coordinate -- 5 Concept Design -- Part II Utility-Based Reinforcement Learning for Simulation -- 6 Tunable Dynamics in Agent-Based Simulation -- 7 Dreaming with Dynamic Utility Functions -- 8 Conclusion -- Bibliography.
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|a Description based on publisher supplied metadata and other sources.
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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|a Electronic books.
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|i Print version:
|a Källström, Johan
|t Reinforcement Learning for Improved Utility of Simulation-Based Training
|d Linköping : Linkopings Universitet,c2023
|z 9789180753661
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| 797 |
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|a ProQuest (Firm)
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| 830 |
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|a Linköping Studies in Science and Technology. Dissertations Series
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| 856 |
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|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=30882417
|z Click to View
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