APPLICATION OF DEEP REINFORCEMENT LEARNING (DRL) IN UAV

Основное содержимое статьи

Buriyev Sardor Norovich
Polvonov Kholbek Nematovich
Tursunov Akhmadjon Akmal ugli

Аннотация

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.

Информация о статье

Как цитировать
Buriyev Sardor Norovich, Polvonov Kholbek Nematovich, & Tursunov Akhmadjon Akmal ugli. (2024). APPLICATION OF DEEP REINFORCEMENT LEARNING (DRL) IN UAV. PEDAGOGS, 57(1), 28–31. извлечено от https://pedagogs.uz/index.php/ped/article/view/1215
Раздел
Статьи

Библиографические ссылки

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

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

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

https://arxiv.org/abs/2010.12461