Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study

15 December 2018

Papers citing "Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study"

10 / 10 papers shown

Title
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models Hersh Sanghvi Spencer Folk Camillo J Taylor 52 3 0 25 Jun 2024
Explainable Bayesian Optimization Tanmay Chakraborty Christin Seifert Christian Wirth 64 5 0 24 Jan 2024
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach Ankush Chakrabarty 28 9 0 31 Oct 2022
Event-Triggered Time-Varying Bayesian Optimization Paul Brunzema Alexander von Rohr Friedrich Solowjow Sebastian Trimpe 21 7 0 23 Aug 2022
On Controller Tuning with Time-Varying Bayesian Optimization Paul Brunzema Alexander von Rohr Sebastian Trimpe 34 17 0 22 Jul 2022
A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems Areej AlBahar Inyoung Kim Xiaowei Yue 29 26 0 22 Sep 2021
Anticipating the Long-Term Effect of Online Learning in Control A. Capone Sandra Hirche 19 4 0 24 Jul 2020
Data Driven Prediction Architecture for Autonomous Driving and its Application on Apollo Platform Kecheng Xu Xiangquan Xiao Jinghao Miao Qi Luo 34 27 0 11 Jun 2020
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration Brahma S. Pavse F. Torabi Josiah P. Hanna Garrett A. Warnell Peter Stone 27 33 0 18 Jun 2019
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems K. P. Wabersich Melanie Zeilinger AI4CE 28 155 0 13 Dec 2018