A Master's Thesis at the College of Engineering, University of Basra, Discusses the Autonomous Drone Navigation through Deep Reinforcement Learning

The Master's thesis of researcher Maryam Alawi Haddad was discussed at the College of Engineering, University of Basra, Department of Computer Engineering, under the supervision of Dr. Diaa Risan Khudhair, entitled the Autonomous Drone Navigation through Deep Reinforcement Learning

This thesis focuses on autonomous drone navigation using Deep Reinforcement Learning, a modern artificial intelligence approach that enables systems to learn from experience and make decisions independently.

The main goal is to allow the drone to move autonomously in different environments, avoid obstacles, and reach its target efficiently without direct human control.

The approach is based on training the drone through interaction with its environment, where it learns from trial and error using a reward system. Over time, this helps improve its performance and decision-making.

This technology has many practical applications, such as delivery services, surveillance, and rescue missions, making drones more intelligent and efficient in complex environments.