Folgen
Alexander von Rohr
Alexander von Rohr
TU Munich
Bestätigte E-Mail-Adresse bei tum.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Local policy search with Bayesian optimization
S Müller*, A von Rohr*, S Trimpe
Advances in Neural Information Processing Systems 34, 2021
412021
Gait learning for soft microrobots controlled by light fields
A von Rohr, S Trimpe, A Marco, P Fischer, S Palagi
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
252018
Probabilistic robust linear quadratic regulators with Gaussian processes
A von Rohr, M Neumann-Brosig, S Trimpe
Learning for Dynamics and Control, 324-335, 2021
192021
On Controller Tuning with Time-Varying Bayesian Optimization
P Brunzema*, A von Rohr*, S Trimpe
2022 IEEE 61st Conference on Decision and Control (CDC), 4046-4052, 2022
182022
A Learnable Safety Measure
S Heim*, A von Rohr*, S Trimpe, A Badri-Spröwitz
Conference on Robot Learning, 627-639, 2020
162020
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures
A Marco, A von Rohr, D Baumann, JM Hernández-Lobato, S Trimpe
arXiv preprint arXiv:2005.07443, 2020
152020
Event-Triggered Time-Varying Bayesian Optimization
P Brunzema, A von Rohr, F Solowjow, S Trimpe
arXiv preprint arXiv:2208.10790, 2022
92022
Multi-Arm Bin-Picking in Real-Time: A Combined Task and Motion Planning Approach
I Toumi, A Orthey, A von Rohr, NA Vien
arXiv preprint arXiv:2211.11089, 2022
62022
Local Bayesian optimization for controller tuning with crash constraints
A von Rohr, D Stenger, D Scheurenberg, S Trimpe
at-Automatisierungstechnik 72 (4), 281-292, 2024
32024
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
H Hose, P Brunzema, A von Rohr, A Gräfe, AP Schoellig, S Trimpe
CoRL Workshop on Safe and Robust Robot Learning for Operation in the Real World, 2024
12024
Improving the Performance of Robust Control through Event-Triggered Learning
A von Rohr, F Solowjow, S Trimpe
2022 IEEE 61st Conference on Decision and Control (CDC), 3424-3430, 2022
12022
Robust direct data-driven control for probabilistic systems
A von Rohr, D Likhachev, S Trimpe
Systems & Control Letters 196, 106011, 2025
2025
Event-Triggered Time-Varying Bayesian Optimization
P Brunzema, A von Rohr, F Solowjow, S Trimpe
Transactions on Machine Learning Research, 2025
2025
Diffusion Predictive Control with Constraints
R Römer, A von Rohr, AP Schoellig
arXiv preprint arXiv:2412.09342, 2024
2024
Simulation-Aided Policy Tuning for Black-Box Robot Learning
S He, A von Rohr, D Baumann, J Xiang, S Trimpe
arXiv preprint arXiv:2411.14246, 2024
2024
Latent Action Priors From a Single Gait Cycle Demonstration for Online Imitation Learning
O Hausdörfer, A von Rohr, É Lefort, A Schoellig
arXiv preprint arXiv:2410.03246, 2024
2024
Viability of Future Actions: Robust Reinforcement Learning via Entropy Regularization
PF Massiani*, A von Rohr*, L Haverbeck, S Trimpe
Seventeenth European Workshop on Reinforcement Learning, 2024
2024
Discovering Model Structure of Dynamical Systems with Combinatorial Bayesian Optimization
L Rath, A von Rohr, A Schultze, S Trimpe, B Corves
Transactions on Machine Learning Research, 2024
2024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–18