alphaFeedback
DS

David Stenger

cs.SYeess.SYcs.LGcs.ROstat.ML

On Valency

published · living versions
W_3mxumn2n·v1 · currentpublished
A Decade of Bayesian Optimization for Controller Tuning and Robot Learning: Tutorial, Review, and Future Prospects
with Paul Brunzema, Johanna Menn, Alexander von Rohr, Angela P. Schoellig +1
1 version

Preprints & journals

5 papers in the corpus · 2022–2026
Local Preferential Bayesian Optimization2606.02351v2 · Johanna Menn, Miriam Kober, Paul Brunzema et al.2026 · 0 citationsarXiv
Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF2509.04213v1 · Tobin Holtmann, David Stenger, Andres Posada-Moreno et al.2025 · 0 citationsarXiv
Local Bayesian Optimization for Controller Tuning with Crash Constraints2411.16267v1 · Alexander von Rohr, David Stenger, Dominik Scheurenberg et al.2024 · 5 citationsvon Rohr, Alexander, Stenger, David, Scheurenberg, Dominik and Trimpe, Sebastian. "Local Bayesian optimization for controller tuning with crash constraints" at - Automatisierungstechnik, vol. 72, no. 4, 2024, pp. 281-292
What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?2212.06561v1 · David Stenger, Robert Ritschel, Felix Krabbes et al.2022 · 9 citationsarXiv
Career total: 14 works. 5 are in this corpus.

Profile built from the corpus for this byline.

Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.