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Autonomous driving policy based on reinforcement learning with environment representation
更新时间：2026-02-03

    • Autonomous driving policy based on reinforcement learning with environment representation

    • “A new breakthrough has been made in the field of autonomous driving, with experts proposing reinforcement learning strategies based on environmental representation, significantly improving the efficiency of driving strategy learning and scene adaptability, providing strong support for the development of autonomous driving.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 10, Pages: 3169-3179(2025)
    • 作者机构：

      1.华南理工大学 机械与汽车工程学院，广州 510640

      2.广东省汽车工程重点实验室，广州 510640

    • DOI：10.13229/j.cnki.jdxbgxb.20231428    

      CLC： U463.6;TP181

    • Received：20 December 2023，

      Published：01 October 2025

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  • LUO Yu-tao,XUE Zhi-cheng.Autonomous driving policy based on reinforcement learning with environment representation[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(10):3169-3179. DOI： 10.13229/j.cnki.jdxbgxb.20231428.

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