Vacant taxi routing in Markov Decision Process (MDP) – Bc. Nurbulat Shektbayev
Bc. Nurbulat Shektbayev
Master's thesis
Vacant taxi routing in Markov Decision Process (MDP)
Abstract:
This thesis focuses on optimizing taxi routes by using the Markov Decision Processes (MDP) with an aim to enhance taxi driver performance and profitability. It begins with a literature review on reinforcement learning and the MDP to establish a good theoretical background and understanding. This is then followed by defining the optimization problem within the MDP framework. To construct the model, …more
Language used: English
Date on which the thesis was submitted / produced: 2. 12. 2023
Thesis defence
- Date of defence: 8. 2. 2024
- Supervisor: Ing. Robert Hlavatý, Ph.D.
- Reader: Martin Horák, externi
Citation record
ISO 690-compliant citation record:
SHEKTBAYEV, Nurbulat. \textit{Vacant taxi routing in Markov Decision Process (MDP)}. Online. Master's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Economics and Management. 2023. Available from: https://theses.cz/id/ubxjky/.
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Published in Theses:- světu
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Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Provozně ekonomická fakultaCzech University of Life Sciences Prague
Faculty of Economics and ManagementMaster programme / field:
Systems Engineering and Informatics / Informatics
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Mach, J.
2/12/2023