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Deep reinforcement learning augmented decision⁃making model for intelligent driving vehicles
更新时间：2025-05-26

    • Deep reinforcement learning augmented decision⁃making model for intelligent driving vehicles

    • “In the field of ice and snow road driving, experts have constructed intelligent agents based on DQN, which improve the driving ability of the agents by integrating motion planners and provide solutions to solve the problem of ice and snow road driving.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 3, Pages: 682-692(2023)
    • 作者机构：

      吉林大学 通信工程学院，长春 130022

    • DOI：10.13229/j.cnki.jdxbgxb20221441    

      CLC： U495

    • Received：13 November 2022，

      Published：01 March 2023

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  • TIAN Yan-tao,JI Yan-shi,CHANG Huan,et al.Deep reinforcement learning augmented decision⁃making model for intelligent driving vehicles[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(03):682-692. DOI： 10.13229/j.cnki.jdxbgxb20221441.

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