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Application of neuro evolution tools in automation of technical control systems

Reinforced learning is a field of machine learning based on how software agents should perform actions in the environment to maximize the concept of cumulative reward. This paper proposes a new application of machine reinforcement learning techniques in the form of neuroevolution of augmenting topol...

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Bibliographic Details
Date:	2021
Main Authors:	Doroshenko, А.Yu., Achour, I.Z.
Format:	Article
Language:	Ukrainian
Published:	PROBLEMS IN PROGRAMMING 2021
Subjects:	artificial neural networks reinforced learning genetic algorithms control automation in technical systems UDC 004.4'22
Online Access:	https://pp.isofts.kiev.ua/index.php/ojs1/article/view/448
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Journal Title:	Problems in programming
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