Path Planning for Unmanned Surface Vehicles with Strong Generalization Ability Based on Improved Proximal Policy Optimization

To solve the problems of path planning and dynamic obstacle avoidance for an unmanned surface vehicle (USV) in a locally observable non-dynamic ocean environment, a visual perception and decision-making method based on deep reinforcement learning is proposed. This method replaces the full connection...

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Detalles Bibliográficos
Autores principales: Sun, Pengqi, Yang, Chunxi, Zhou, Xiaojie, Wang, Wenbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650858/
https://www.ncbi.nlm.nih.gov/pubmed/37960565
http://dx.doi.org/10.3390/s23218864

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650858/
https://www.ncbi.nlm.nih.gov/pubmed/37960565
http://dx.doi.org/10.3390/s23218864

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