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

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

collaborators

2 papers

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…

cs.LG2023

Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation

Andrea Ghezzi, Jasper Hoffman, Jonathan Frey +2

This work presents a novel loss function for learning nonlinear Model Predictive Control policies via Imitation Learning. Standard approaches to Imitation Learning neglect informat…