50 citations · 79 across the 19 of their papers we have counts for
4 papers · 1 filter
MPC4RL -- A Software Package for Reinforcement Learning based on Model Predictive Control
Dirk Reinhardt, Katrin Baumgärnter, Jonathan Frey +2
In this paper, we present an early software integrating Reinforcement Learning (RL) with Model Predictive Control (MPC). Our aim is to make recent theoretical contributions from th…
L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control
Amon Lahr, Joshua Näf, Kim P. Wabersich +5
Incorporating learning-based models, such as artificial neural networks or Gaussian processes, into model predictive control (MPC) strategies can significantly improve control perf…
Collision-free Motion Planning for Mobile Robots by Zero-order Robust Optimization-based MPC
Yunfan Gao, Florian Messerer, Jonathan Frey +2
This paper presents an implementation of robust model predictive control (MPC) for collision-free reference trajectory tracking for mobile robots. The presented approach considers…
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…