3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 3 cited
Learning IMM Filter Parameters from Measurements using Gradient Descent
André Brandenburger, Folker Hoffmann, Alexander Charlish
The performance of data fusion and tracking algorithms often depends on parameters that not only describe the sensor system, but can also be task-specific. While for the sensor sys…
cs.RO2022★ 2 cited
Co-Training an Observer and an Evading Target
André Brandenburger, Folker Hoffmann, Alexander Charlish
Reinforcement learning (RL) is already widely applied to applications such as robotics, but it is only sparsely used in sensor management. In this paper, we apply the popular Proxi…