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How to win a Beach Volleyball Match Using Multi-Scale Markov Decision Processes

Title data

Börner, Susanne ; Rambau, Jörg:
How to win a Beach Volleyball Match Using Multi-Scale Markov Decision Processes.
2015
Event: 27th European Conference in Operational Research, EURO2015 , 12.-15.07.2015 , Glasgow.
(Conference item: Conference , Speech )

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Abstract in another language

How can your team increase its chances to win a beach volleyball match given your team’s skills? What is the impact of having the first serve in a set? Should the next attack be as aggressive as possible? We tackle these kind of strategic questions using two interacting Markov Decisions Problems. An aggregated model is treated analytically, whereas a more detailed model is simulated to calibrate the aggregated model. If actions in the aggregated model are aggressive and timid play, then our method recommends a policy depending on statistics from your team’s training sessions and historical observations of the opposing team’s skills. These recommendations are even possible if the two teams have never played a real match against each other.

Further data

Item Type: Conference item (Speech)
Refereed: No
Keywords: OR in Sports; Simulation; Stochastic Models
Subject classification: MSC 90C40 (90C39, 90C90)
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics in Economy
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics in Economy > Chair Mathematics in Economy - Univ.-Prof. Dr. Jörg Rambau
Research Institutions > Research Centres > Forschungszentrum für Modellbildung und Simulation (MODUS)
Research Institutions
Research Institutions > Research Centres
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 07 Dec 2015 08:16
Last Modified: 02 Nov 2016 08:43
URI: https://eref.uni-bayreuth.de/id/eprint/24710