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Strategy Optimization in Sports : A Two-Scale Approach via Markov Decision Problems

Title data

Hoffmeister, Susanne ; Rambau, Jörg:
Strategy Optimization in Sports : A Two-Scale Approach via Markov Decision Problems.
2016
Event: 28th European Conference on Operational Research , 03.-06. Juli 2016 , Poznan, Polen.
(Conference item: Conference , Speech )

Abstract in another language

We present a paradigm to model sports strategy optimization via Markov Decision Problems (MDPs). If one employs a detailed model, optimal policies can be prohibitive to compute. If one chooses a rather aggregated model, input probabilities can be impossible to determine. We suggest a way-out: To answer questions about optimal policies, we employ an accessible aggregated model. Its critical input parameters are estimated by simulations in a detailed model whose input parameters can be derived from observations during training hours. As an example, we characterize when risky play is better than safe play in beach volleyball.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics in Economy > Chair Mathematics in Economy - Univ.-Prof. Dr. Jörg Rambau
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
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 30 May 2017 09:58
Last Modified: 30 May 2017 09:58
URI: https://eref.uni-bayreuth.de/id/eprint/37342