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20222025
most citedAC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control

2 citations · 2 across the 7 of their papers we have counts for

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eess.SY2024★ 2 cited

AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control

Rudolf Reiter, Andrea Ghezzi, Katrin Baumgärtner +3

\Ac{MPC} and \ac{RL} are two powerful control strategies with, arguably, complementary advantages. In this work, we show how actor-critic \ac{RL} techniques can be leveraged to imp…

math.OC2024

A Sequential Benders-based Mixed-Integer Quadratic Programming Algorithm and Its Implementation in the CAMINO Toolbox

Andrea Ghezzi, Wim Van Roy, Sebastian Sager +1

Sequential quadratic programming and sequential convex programming efficiently solve nonlinear programs (NLPs) by linearizing inner nonlinearities while preserving the outer convex…