Survey of Deep Reinforcement Learning for Marine Robotics Control
This paper presents a survey of deep reinforcement learning (DRL) strategies applied to the control of autonomous underwater vehicles (AUVs) and autonomous surface vehicles (ASVs). Autonomous marine systems are increasingly deployed for tasks ranging from environmental monitoring to underwater inspection. DRL offers a...