Efficient Path Planning for Mobile Robot Based on Deep Deterministic Policy Gradient

When a traditional Deep Deterministic Policy Gradient (DDPG) algorithm is used in mobile robot path planning, due to the limited observable environment of mobile robots, the training efficiency of the path planning model is low, and the convergence speed is slow. In this paper, Long Short-Term Memor...

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Detalles Bibliográficos
Autores principales: Gong, Hui, Wang, Peng, Ni, Cui, Cheng, Nuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102217/
https://www.ncbi.nlm.nih.gov/pubmed/35591271
http://dx.doi.org/10.3390/s22093579

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102217/
https://www.ncbi.nlm.nih.gov/pubmed/35591271
http://dx.doi.org/10.3390/s22093579

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