USV Formation and Path-Following Control via Deep Reinforcement Learning With Random Braking
IEEE Transactions on Neural Networks and Learning Systems(2021)
摘要
This article addresses the problem of path following for underactuated unmanned surface vessels (USVs) formation via a modified deep reinforcement learning with random braking (DRLRB). A formation control model based on deep reinforcement learning (DRL) is constructed to urge USVs to form a preset formation. Specifically, an efficient reward function is designed from the perspective of velocity an...
更多查看译文
关键词
Training,Reinforcement learning,Usability,Task analysis,Navigation,Machine learning algorithms,Learning systems
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要