Modular dual-critic reinforcement learning control for AUV path tracking and collision avoidance
Autonomous underwater vehicles (AUVs) operating in complex and uncertain ocean environments require reliable path-tracking and obstacle-avoidance capabilities to maintain safety in the presence of currents and obstacles. Traditional end-to-end deep reinforcement learning (DRL) methods often struggle with coupled naviga...