67 citations · 324 across the 46 of their papers we have counts for
3 papers · 2 filters
Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes
Filippo Airaldi, Bart De Schutter, Azita Dabiri
We propose a method to encourage safety in Model Predictive Control (MPC)-based Reinforcement Learning (RL) via Gaussian Process (GP) regression. This framework consists of 1) a pa…
Approximate Dynamic Programming for Constrained Linear Systems: A Piecewise Quadratic Approximation Approach
Kanghui He, Shengling Shi, Ton van den Boom +1
Approximate dynamic programming (ADP) faces challenges in dealing with constraints in control problems. Model predictive control (MPC) is, in comparison, well-known for its accommo…
Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching
Shengling Shi, Othmane Mazhar, Bart De Schutter
For the identification of switched systems with a measured switching signal, this work aims to analyze the effect of switching strategies on the estimation error. The data for iden…