KUCHAYTIRILGAN O‘QITISH: Q-LEARNING, SARSA

Authors

  • Q. Rahimov Amaliy matematika va informatika kafedrasi mudiri;
  • M. Javlonova Amaliy matematika (sohalar bo’yicha) mutaxassisligi 2-kurs magistranti Farg’ona davlat universiteti

Keywords:

Kuchaytirilgan o‘qitish, Q-learning, SARSA

Abstract

Mazkur maqolada kuchaytirilgan o’qitishning strukturasi va algoritmi uning sohalarda keng qo‘llanilishi haqida taklif-tavsiyalar xususida fikr yuritiladi.

References

Иванов, В. М. И20 Интеллектуальные системы : учебное пособие / В. М. Иванов. — Екатеринбург : Изд-во Урал. ун-та, 2015. — 92 с.

Mariette Awad and Rahul Khanna Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers Mariette Awad and Rahul Khanna Copyright © 2015 by Apress Media, LLC.

Becker, Suzanna, and Geoffrey E. Hinton. “Self-Organizing Neural Network that Discovers Surfaces in Random-Dot Stereograms.” Nature 355, no. 6356 (1992): 161–163.

Boser, Bernhard E, Isabelle M. Guyon, and Vladimir N. Vapnik. “A Training Algorithm for Optimal Margin Classifiers.” In COLT ’92: Proceedings of the Fifth Annual Workshop on Computational Learning Theory, 144–152. New York: ACM, 1992.

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Published

2025-06-17

How to Cite

Rahimov, Q., & Javlonova, M. (2025). KUCHAYTIRILGAN O‘QITISH: Q-LEARNING, SARSA. Theoretical Aspects in the Formation of Pedagogical Sciences, 4(16), 91-94. https://econferences.ru/index.php/tafps/article/view/29935