HIGHLIGHTS
SUMMARY
Optimization methods, generally, bring new ideas to solve complex engineering problems (Dong et_al, 2021; Sun et_al, 2022). Deep reinforcement learning (DRL) (Wang et_al, 2020) can perceive complex inputs and learn independent policies, as reinforcement learning has shown great potential in solving many problems (Pan and Xu, 2016; Zhang et_al, 2020; Yun et_al, 2021; Kaur and Mittal, 2022; Raheb et_al, 2022). Many researchers have recently investigated robotic arm control based on the DRL approach (Iriondo et_al, 2019; Moreira et_al, 2020; Jiang et_al, 2021; Sekkat et_al, 2021; Yang Y. et_al, 2021). The purple dotted line is . . .
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