Can I read Scheduling single-satellite observation and transmission tasks by using hybrid Actor-Critic reinforcement learning on EtoBox?

Scheduling single-satellite observation and transmission tasks by using hybrid Actor-Critic reinforcement learning by Zhijiang Wen; Lu Li; Jiakai Song; Shengyu Zhang; Haiying Hu is a Physics and Astronomy article available to read on EtoBox.

What is Scheduling single-satellite observation and transmission tasks by using hybrid Actor-Critic reinforcement learning about?

Earth observation satellites(EOS) generate a large amount of observation data in intensive observation scenarios, while the ability of data storage on the EOS is limited. It makes integrating satellite observation and data transmission tasks for EOS imperative. This paper establishes a time-continuous model for the single EOS integrated scheduling problem, which considers data transmission and observation simultaneously. A hybrid Actor-Critic reinforcement learning method is adopted to solve the EOS integrated scheduling problem for a more efficient solution in intensive observation scenarios. Furthermore, the algorithm can flexibly determine the start and end time of the data transmission task. Experimental results show that the hybrid Actor-Critic reinforcement learning method deals with a large scale of problems with high efficiency and good results.

Who reads Scheduling single-satellite observation and transmission tasks by using hybrid Actor-Critic reinforcement learning?

Author

Zhijiang Wen; Lu Li; Jiakai Song; Shengyu Zhang; Haiying Hu

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Physics and Astronomy (Physical Sciences)