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Markov Decision Processes for Sport Strategy Optimization

Title data

Hoffmeister, Susanne ; Rambau, Jörg:
Markov Decision Processes for Sport Strategy Optimization.
2018
Event: 23rd International Symposium on Mathematical Programming (ISMP) , 01.-06.07.2018 , Bordeaux (France).
(Conference item: Conference , Speech )

Abstract in another language

We introduce a framework of Markov Decision Processes suitable for sports games. The objective of these so-called Sport-Strategy Optimization Markov Decision Processes (SSOMDPs) is to maximize the probability of winning a match. We investigate properties of SSOMDPs that help to determine an optimal strategy. The introduced SSOMDPs are used to answer a sport strategic question. We formalize what we consider a sport strategic question and show how the optimal strategy may depend on the involved opponent team and the environmental circumstances of the specified match. The talk includes examples of beachvolleyball-SSOMDPs that model the same strategic question on different levels of detail. We show the advantages and disadvantages of each modeling decision from a sport-related perspective. Finally, we introduce a framework that combines the advantages of a rough model with a very detailed model. We call this framework a two-scale approach.

Further data

Item Type: Conference item (Speech)
Refereed: No
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 Institutions > Research Centres
Research Institutions > Research Centres > Forschungszentrum für Modellbildung und Simulation (MODUS)
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 04 Oct 2018 10:25
Last Modified: 04 Oct 2018 10:25
URI: https://eref.uni-bayreuth.de/id/eprint/45939