5 citations · 5 across the 4 of their papers we have counts for
4 papers
Optimal Transport for Correctional Learning
Rebecka Winqvist, Inês Lourenco, Francesco Quinzan +2
The contribution of this paper is a generalized formulation of correctional learning using optimal transport, which is about how to optimally transport one mass distribution to ano…
A Teacher-Student Markov Decision Process-based Framework for Online Correctional Learning
Inês Lourenço, Rebecka Winqvist, Cristian R. Rojas +1
A classical learning setting typically concerns an agent/student who collects data, or observations, from a system in order to estimate a certain property of interest. Correctional…
Learning Models of Model Predictive Controllers using Gradient Data
Rebecka Winqvist, Arun Venkitaraman, Bo Wahlberg
This paper investigates controller identification given data from a Model Predictive Controller (MPC) with constraints. We propose an approach for learning MPC that explicitly uses…
On Training and Evaluation of Neural Network Approaches for Model Predictive Control
Rebecka Winqvist, Arun Venkitaraman, Bo Wahlberg
The contribution of this paper is a framework for training and evaluation of Model Predictive Control (MPC) implemented using constrained neural networks. Recent studies have propo…