Deep Reinforcement Learning for Indoor Mobile Robot Path Planning

This paper proposes a novel incremental training mode to address the problem of Deep Reinforcement Learning (DRL) based path planning for a mobile robot. Firstly, we evaluate the related graphic search algorithms and Reinforcement Learning (RL) algorithms in a lightweight 2D environment. Then, we de...

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Detalles Bibliográficos
Autores principales: Gao, Junli, Ye, Weijie, Guo, Jing, Li, Zhongjuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582363/
https://www.ncbi.nlm.nih.gov/pubmed/32992750
http://dx.doi.org/10.3390/s20195493

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582363/
https://www.ncbi.nlm.nih.gov/pubmed/32992750
http://dx.doi.org/10.3390/s20195493

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