Research on Dynamic Path Planning of Mobile Robot Based on Improved DDPG Algorithm

Aiming at the problems of low success rate and slow learning speed of the DDPG algorithm in path planning of a mobile robot in a dynamic environment, an improved DDPG algorithm is designed. In this article, the RAdam algorithm is used to replace the neural network optimizer in DDPG, combined with th...

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Autores principales: Peng Li, Xiangcheng Ding, Hongfang Sun, Shiquan Zhao, Ricardo Cajo
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/0368a1ae039c41579d12bef6903932d4
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