67 citations · 324 across the 46 of their papers we have counts for
4 papers · 1 filter
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…
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles
Erwin de Gelder, Jasper Hof, Eric Cator +4
The development of assessment methods for the performance of Automated Vehicles (AVs) is essential to enable the deployment of automated driving technologies, due to the complex op…