Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance

This paper summarizes in depth the state of the art of aerial swarms, covering both classical and new reinforcement-learning-based approaches for their management. Then, it proposes a hybrid AI system, integrating deep reinforcement learning in a multi-agent centralized swarm architecture. The propo...

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Detalles Bibliográficos
Autores principales: Arranz, Raúl, Carramiñana, David, de Miguel, Gonzalo, Besada, Juan A., Bernardos, Ana M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648592/
https://www.ncbi.nlm.nih.gov/pubmed/37960466
http://dx.doi.org/10.3390/s23218766

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648592/
https://www.ncbi.nlm.nih.gov/pubmed/37960466
http://dx.doi.org/10.3390/s23218766

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