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contributor authorSun, Zekun
contributor authorLi, Weifeng
contributor authorShi, Guoyou
contributor authorSchonfeld, Paul
date accessioned2026-08-20T21:32:29Z
date available2026-08-20T21:32:29Z
date copyright2026/04/03
date issued2026
identifier otherAJRUA6.RUENG-1850.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314619
description abstractAbstractAutonomous navigation of unmanned surface vehicles (USVs) is challenged by environmental uncertainty and safety risks caused by eddies and unknown obstacles. Traditional deep reinforcement learning based on expected returns is prone to decision ...Practical ApplicationsThis paper proposes a method to enhance the navigation of unmanned surface vehicles in complex marine environments, particularly those affected by unpredictable currents and obstacles. The method combines distributional reinforcement ...
publisherAmerican Society of Civil Engineers
titleDynamic Obstacle Avoidance Navigation for USVs Based on the Multihead Attention Mechanism and Distributional Reinforcement Learning
typeJournal Article
journal volume12
journal issue2
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
identifier doi10.1061/AJRUA6.RUENG-1850
journal fristpage04026020-1
journal lastpage04026020-14
page14
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 002
contenttypeFulltext


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