Networked and Deep Reinforcement Learning-Based Control for Autonomous Marine Vehicles: A Survey
这篇综述梳理了自主海洋航行器在网络化控制和深度强化学习控制方面的最新进展，介绍了典型数学模型，并指出了未来研究的挑战与开放问题。
Autonomous marine vehicles, which provide a platform for the successful implementation of special tasks, such as maritime rescue, maritime measurement, and dangerous goods monitoring, have been widely utilized. In the last decade, considerable attention has been paid to the analysis, modeling, and networked control of autonomous marine vehicles. This survey provides recent advances in networked and DRL-based control for autonomous marine vehicles. Typical mathematical models of autonomous marine vehicles are introduced first as the foundation for control of autonomous marine vehicles. Then, networked and DRL-based control for autonomous marine vehicles is reviewed. Finally, some challenges and open issues are presented to motivate the future research.