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Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining
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Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining

Henrik Hose
Alexander Gräfe
Sebastian Trimpe
ArXiv (abs)PDFHTML

Papers citing "Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining"

5 / 5 papers shown
Title
Diffusion-Based Approximate MPC: Fast and Consistent Imitation of Multi-Modal Action Distributions
Diffusion-Based Approximate MPC: Fast and Consistent Imitation of Multi-Modal Action Distributions
Pau Marquez Julbe
Julian Nubert
Henrik Hose
Sebastian Trimpe
Katherine J. Kuchenbecker
71
0
0
06 Apr 2025
An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation
An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation
D. Krishnamoorthy
93
4
0
09 Mar 2023
Implicit Behavioral Cloning
Implicit Behavioral Cloning
Peter R. Florence
Corey Lynch
Andy Zeng
Oscar Ramirez
Ayzaan Wahid
Laura Downs
Adrian S. Wong
Johnny Lee
Igor Mordatch
Jonathan Tompson
OffRL
119
391
0
01 Sep 2021
Model-free Reinforcement Learning for Robust Locomotion using Demonstrations from Trajectory Optimization
Model-free Reinforcement Learning for Robust Locomotion using Demonstrations from Trajectory Optimization
Miroslav Bogdanovic
Majid Khadiv
Ludovic Righetti
184
30
0
14 Jul 2021
Learning an Approximate Model Predictive Controller with Guarantees
Learning an Approximate Model Predictive Controller with Guarantees
Michael Hertneck
Johannes Köhler
Sebastian Trimpe
Frank Allgöwer
69
227
0
11 Jun 2018