Yue Ma

Deep Reinforcement Learning with Adaptive Guidance for Motion Control of Tilt-Servo Fully Vectoring UAV

A reinforcement-learning-based training framework for the hierarchical control architecture of TSFV-UAVs is proposed, which introduces an adaptive guidance mechanism and a varying-gradient reward function to improve training convergence.