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    Dynamic Obstacle Avoidance Navigation for USVs Based on the Multihead Attention Mechanism and Distributional Reinforcement Learning

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 002::page 04026020-1
    Author:
    Sun, Zekun
    ,
    Li, Weifeng
    ,
    Shi, Guoyou
    ,
    Schonfeld, Paul
    DOI: 10.1061/AJRUA6.RUENG-1850
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAutonomous 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 ...
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      Dynamic Obstacle Avoidance Navigation for USVs Based on the Multihead Attention Mechanism and Distributional Reinforcement Learning

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314619
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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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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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