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    An Efficiently Convergent Deep Reinforcement Learning-Based Trajectory Planning Method for Manipulators in Dynamic Environments

    Recently, deep reinforcement learning (DRL)-based trajectory planning methods have been designed for manipulator trajectory planning, given their potential in solving the problem of multidimensional spatial tr...

    Li Zheng, YaHao Wang, Run Yang, Shaolei Wu… in Journal of Intelligent & Robotic Systems (2023)