| Issue |
E3S Web Conf.
Volume 515, 2024
International Scientific Conference Transport Technologies in the 21st Century (TT21C-2024) “Actual Problems of Decarbonization of Transport and Power Engineering: Ways of Their Innovative Solution”
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|---|---|---|
| Article Number | 03007 | |
| Number of page(s) | 5 | |
| Section | Low Carbon Mobility and Logistics | |
| DOI | https://doi.org/10.1051/e3sconf/202451503007 | |
| Published online | 12 April 2024 | |
Optimisation tool: Q-learning and its application in various fields
1 Kadyrov Chechen State University, Grozny, Russia
2 Dagestan State Technical University, Makhachkala, Russia
3 Kazan National Research Technical University named after A. N. Tupolev-KAI, Kazan, Russia
* Corresponding author: guzueva@mail.ru
Q-learning in reinforcement learning can serve as a useful tool in many fields. The one popular technology one can hear lately is artificial intelligence, which can be found in almost any field and area. However, artificial intelligence is a combination of different technologies and methods that are most of the time ignored or overshadowed. Q-learning is a method in which each action or step is analyzed and provided by feedback. Depending on the feedback the method continues its actions by choosing the best possible path. In this paper, Q-learning will be briefly expanded with the examples. The main focus of this work will be on Its application in different fields. The following fields will be covered: healthcare, education, gaming, manufacturing, and finances.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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