Yaowen Hu

HRL-Det: Hierarchical Reinforcement Learning for Sequential Object Detection in Aerial Imagery

HRL-Det, a hierarchical reinforcement learning framework that addresses object detection in unmanned aerial vehicle (UAV) imagery through two tightly coupled innovations, and constructs convergence-promoting dense rewards informed by Lyapunov stability analysis while maintaining exploration diversity through maximum entropy optimization.