PhD - RL
To make students understand the principles and applications of Reinforcement Learning (RL) in Unmanned Aerial Vehicle (UAV) technologies; to teach students the fundamental concepts of RL, decision-making under uncertainty, policy/value function approximation, and learning-based control frameworks; and to develop the ability to design, train, and evaluate RL-based UAV control systems through simulation environments, sensor-driven feedback, autonomous mission planning, and real-world deployment considerations.
All Lectures Notes: https://drive.google.com/drive/folders/1VfBJbXiwVS2f_PBVtNm1td2uUBuz0PeU?usp=drive_link
Ali Tahir Karasahin
Assistant Professor
I’m Assistant Professor at Necmettin Erbakan University and Visiting Research Fellow in Bristol Robotics Laboratory at University of Bristol. My research interests include learning-based control and design in aerial robots.