2 papers
cs.LG2026
Constrained Policy Optimization via Sampling-Based Weight-Space Projection
Shengfan Cao, Francesco Borrelli, Eunhyek Joa
Safety-critical learning requires policies that improve performance without leaving the safe operating regime. We study constrained policy learning where model parameters must sati…
math.OC2025
A learning model predictive control for virtual coupling in railroads
Miguel A. Vaquero-Serrano, Francesco Borrelli, Jesus Felez
The objective of this paper is to present a novel intelligent train control system for virtual coupling in railroads based on a Learning Model Predictive Control (LMPC). Virtual co…