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Preprint Aug 2026

Reinforcement Learning-Guided Evolutionary Policy Optimization for Preference-Adjustable Heterogeneous Agile Earth Observation Satellite Scheduling

Heterogeneous agile Earth observation satellite (AEOS) scheduling requires task selection, satellite assignment, and observation sequencing under satellite-dependent visibility windows, attitude maneuvering requirements, energy consumption, and onboard storage constraints. Since satellites differ in orbital access, man...

He Wang, Junyu Wu, Hui Li et al. · 0 citations
Open access Oct 2026

Unmanned Underwater Vehicle Path Following Based on Improved Soft ActorCritic with Action Smoothing

The deep reinforcement learning (DRL) method shows great potential in unmanned underwater vehicle (UUV) motion control. Traditional control methods rely on an accurate UUV model. However, due to the nonlinearity of the UUV model and the complex underwater environment, it is difficult to obtain an accurate model in prac...

Bo Zhong, Shuai Niu, Lin-Lin Wang et al. · 0 citations

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