3 citations · 3 across the 2 of their papers we have counts for
5 papers
On the Asymptotic Optimality of Cross-Validation based Hyper-parameter Estimators for Regularized Least Squares Regression Problems
Biqiang Mu, Tianshi Chen, Lennart Ljung
The asymptotic optimality (a.o.) of various hyper-parameter estimators with different optimality criteria has been studied in the literature for regularized least squares regressio…
A Crash Course on Reinforcement Learning
Farnaz Adib Yaghmaie, Lennart Ljung
The emerging field of Reinforcement Learning (RL) has led to impressive results in varied domains like strategy games, robotics, etc. This handout aims to give a simple introductio…
Supplementary Material for CDC Submission No. 1461
Yue Ju, Tianshi Chen, Biqiang Mu +1
In this paper, we focus on the influences of the condition number of the regression matrix upon the comparison between two hyper-parameter estimation methods: the empirical Bayes (…
Improving Linear State-Space Models with Additional Iterations
Suat Gumussoy, Ahmet Arda Ozdemir, Tomas McKelvey +3
An estimated state-space model can possibly be improved by further iterations with estimation data. This contribution specifically studies if models obtained by subspace estimation…
Algorithms and Performance Analysis for Stochastic Wiener System Identification
Bo Wahlberg, Lennart Ljung
We analyze the statistical performance of identification of stochastic dynamical systems with non-linear measurement sensors. This includes stochastic Wiener systems, with linear d…