most citedModel-Free Design of Stochastic LQR Controller from Reinforcement Learning and Primal-Dual Optimization Perspective

1 citations · 1 across the 3 of their papers we have counts for

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3 papers

eess.SY2021

Sparse Bayesian Deep Learning for Dynamic System Identification

Hongpeng Zhou, Chahine Ibrahim, Wei Xing Zheng +1

This paper proposes a sparse Bayesian treatment of deep neural networks (DNNs) for system identification. Although DNNs show impressive approximation ability in various fields, sev…

eess.SY2021★ 1 cited

Model-Free Design of Stochastic LQR Controller from Reinforcement Learning and Primal-Dual Optimization Perspective

Man Li, Jiahu Qin, Wei Xing Zheng +2

To further understand the underlying mechanism of various reinforcement learning (RL) algorithms and also to better use the optimization theory to make further progress in RL, many…

eess.SY2021

In-Field Gyroscope Autocalibration with Iterative Attitude Estimation

Li Wang, Rob Duffield, Deborah Fox +4

This paper presents an efficient in-field calibration method tailored for low-cost triaxial MEMS gyroscopes often used in healthcare applications. Traditional calibration technique…