Cargando…
A UAV Maneuver Decision-Making Algorithm for Autonomous Airdrop Based on Deep Reinforcement Learning
How to operate an unmanned aerial vehicle (UAV) safely and efficiently in an interactive environment is challenging. A large amount of research has been devoted to improve the intelligence of a UAV while performing a mission, where finding an optimal maneuver decision-making policy of the UAV has be...
Autores principales: | Li, Ke, Zhang, Kun, Zhang, Zhenchong, Liu, Zekun, Hua, Shuai, He, Jianliang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8004906/ https://www.ncbi.nlm.nih.gov/pubmed/33806886 http://dx.doi.org/10.3390/s21062233 |
Ejemplares similares
-
UAVs Maneuver Decision-Making Method Based on Transfer Reinforcement Learning
por: Zhu, Jindong, et al.
Publicado: (2022) -
Autonomous maneuver decision-making method based on reinforcement learning and Monte Carlo tree search
por: Zhang, Hongpeng, et al.
Publicado: (2022) -
Proactive Handover Decision for UAVs with Deep Reinforcement Learning
por: Jang, Younghoon, et al.
Publicado: (2022) -
UAV Autonomous Tracking and Landing Based on Deep Reinforcement Learning Strategy
por: Xie, Jingyi, et al.
Publicado: (2020) -
Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning
por: Zhang, Xinyu, et al.
Publicado: (2019)