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Strategy Optimization in Sports via Markov Decision Problems

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00004629
URN to cite this document: urn:nbn:de:bvb:703-epub-4629-9

Title data

Hoffmeister, Susanne ; Rambau, Jörg:
Strategy Optimization in Sports via Markov Decision Problems.
Bayreuth , 2020 . - 45 S.

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Abstract

In this paper, we investigate a sport strategic question related to the Olympics final in beach volleyball: Should the German team play most aggressively to win many direct points or should it rather play safer to avoid unforced errors? This paper introduces the foundations of our new two-scale approach for the opti- mization of sport strategic decisions. We present possible answers to the benchmark question above based on a direct approach and the presented two-scale method. A comparison shows the benefits of the new paradigm.

Further data

Item Type: Preprint, postprint
Additional notes (visible to public): Erscheint in "Proceedings of the 7th International Conference on High Performance Scientific Computing 2018", Springer
Keywords: sports strategy; optimization; Markov decision problem; game theory; beach volleyball; two-scale; modeling
Subject classification: MSC 90C40, 90C90
DDC Subjects: 500 Science > 510 Mathematics
700 Arts and recreation > 790 Sports, games, entertainment
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics > Chair Mathematical Economics - Univ.-Prof. Dr. Jörg Rambau
Research Institutions > Central research institutes > Bayreuth Research Center for Modeling and Simulation - MODUS
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Research Institutions
Research Institutions > Central research institutes
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-4629-9
Date Deposited: 27 Feb 2020 09:33
Last Modified: 01 Jan 2022 02:00
URI: https://epub.uni-bayreuth.de/id/eprint/4629

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