PhD - RL

Sun, 13 Nov 2022 00:00:00 +0000

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

phd_rl | Ali Tahir Karasahin

PhD - RL