APPLICATION OF DEEP REINFORCEMENT LEARNING (DRL) IN UAV

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Buriyev Sardor Norovich
Polvonov Kholbek Nematovich
Tursunov Akhmadjon Akmal ugli

Abstract

Today, artificial intelligence (AI) is one of the most common areas of research in combat unmanned aerial vehicles (UAVs). AI integration in a UAV can enhance it and various capabilities, particularly decision-making and target detection. We consider the principle of operation of the most optimal algorithm. In this article, we will describe the successes and achievements that can be achieved in unmanned aerial vehicles (UAV) using this algorithm.

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How to Cite
Buriyev Sardor Norovich, Polvonov Kholbek Nematovich, & Tursunov Akhmadjon Akmal ugli. (2024). APPLICATION OF DEEP REINFORCEMENT LEARNING (DRL) IN UAV. PEDAGOGS, 57(1), 28–31. Retrieved from https://pedagogs.uz/index.php/ped/article/view/1215
Section
Статьи

References

https://www.semanticscholar.org/paper/0fd7cdea1f24efb0c0f3051555433417823bb392

https://www.semanticscholar.org/paper/029c1d3cb1fe5ff63c9821ed2437c122ba994a52

https://www.semanticscholar.org/paper/c6d53346bf56b22cf18a8a4e3f2b9f7febf37022

https://arxiv.org/abs/2010.12461