Reinforcement Learning-Based Multi-AUV Adaptive Trajectory Planning for Under-Ice Field Estimation

This work studies online learning-based trajectory planning for multiple autonomous underwater vehicles (AUVs) to estimate a water parameter field of interest in the under-ice environment. A centralized system is considered, where several fixed access points on the ice layer are introduced as gatewa...

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Detalles Bibliográficos
Autores principales: Wang, Chaofeng, Wei, Li, Wang, Zhaohui, Song, Min, Mahmoudian, Nina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263807/
https://www.ncbi.nlm.nih.gov/pubmed/30424017
http://dx.doi.org/10.3390/s18113859

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263807/
https://www.ncbi.nlm.nih.gov/pubmed/30424017
http://dx.doi.org/10.3390/s18113859

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