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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: 29th European Conference On Operational Research , 08.-11.07.2018 , Valencia, Spain.
(Conference item: Conference , Speech )

Abstract in another language

We introduce a generalized framework of Markov Decision Processes suitable for sports games. The objective of these so called SportStrategy 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. However, there remains always the question on which level of detail a match should be modeled by an SSOMDP. We show how the same sports game can be modeled on different scales and how the advantages of different scales can be combined. This talk focuses on the generalized concept of the two scale approach and includes example models for the sport games Beachvolleyball and Tennis which were components of previous talks.

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 10:27
Last Modified: 04 Oct 2018 10:27
URI: https://eref.uni-bayreuth.de/id/eprint/45941