at Google ScholarTitle 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 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 Research Institutions > Central research institutes Research Institutions > Central research institutes > Bayreuth Research Center for Modeling and Simulation - MODUS |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 500 Science > 510 Mathematics |
| Date Deposited: | 04 Oct 2018 10:25 |
| Last Modified: | 06 Oct 2025 12:08 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/45939 |