4 citations · 4 across the 3 of their papers we have counts for
4 papers
Aiding reinforcement learning for set point control
Ruoqi Zhang, Per Mattsson, Torbjörn Wigren
While reinforcement learning has made great improvements, state-of-the-art algorithms can still struggle with seemingly simple set-point feedback control problems. One reason for t…
Robust nonlinear set-point control with reinforcement learning
Ruoqi Zhang, Per Mattsson, Torbjörn Wigren
There has recently been an increased interest in reinforcement learning for nonlinear control problems. However standard reinforcement learning algorithms can often struggle even o…
Tuned Regularized Estimators for Linear Regression via Covariance Fitting
Per Mattsson, Dave Zachariah, Petre Stoica
We consider the problem of finding tuned regularized parameter estimators for linear models. We start by showing that three known optimal linear estimators belong to a wider class…
Recursive nonlinear-system identification using latent variables
Per Mattsson, Dave Zachariah, Petre Stoica
In this paper we develop a method for learning nonlinear systems with multiple outputs and inputs. We begin by modelling the errors of a nominal predictor of the system using a lat…