11 citations · 18 across the 10 of their papers we have counts for
5 papers · 1 filter
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
Rudolf Reiter, Jasper Hoffmann, Dirk Reinhardt +6
The fields of MPC and RL consider two successful control techniques for Markov decision processes. Both approaches are derived from similar fundamental principles, and both are wid…
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…
Progressive Smoothing for Motion Planning in Real-Time NMPC
Rudolf Reiter, Katrin Baumgärtner, Rien Quirynen +1
Nonlinear model predictive control (NMPC) is a popular strategy for solving motion planning problems, including obstacle avoidance constraints, in autonomous driving applications.…
Frenet-Cartesian Model Representations for Automotive Obstacle Avoidance within Nonlinear MPC
Rudolf Reiter, Armin Nurkanović, Jonathan Frey +1
In recent years, nonlinear model predictive control (NMPC) has been extensively used for solving automotive motion control and planning tasks. In order to formulate the NMPC proble…
An Inverse Optimal Control Approach for Trajectory Prediction of Autonomous Race Cars
Rudolf Reiter, Florian Messerer, Markus Schratter +2
This paper proposes an optimization-based approach to predict trajectories of autonomous race cars. We assume that the observed trajectory is the result of an optimization problem…