Alexander von Rohr

According to our database, Alexander von Rohr authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Simulation-Aided Policy Tuning for Black-Box Robot Learning.

Shiming He, Alexander von Rohr, Dominik Baumann, Ji Xiang, Sebastian Trimpe

IEEE Trans. Robotics, 2025

Event-Triggered Time-Varying Bayesian Optimization.

Paul Brunzema, Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe

Trans. Mach. Learn. Res., 2025

Robust direct data-driven control for probabilistic systems.

Alexander von Rohr, Dmitrii Likhachev, Sebastian Trimpe

Syst. Control. Lett., 2025

Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization.

Pierre-François Massiani, Alexander von Rohr, Lukas Haverbeck, Sebastian Trimpe

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Diffusion Predictive Control with Constraints.

Ralf Römer, Alexander von Rohr, Angela P. Schoellig

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

2024

Local Bayesian optimization for controller tuning with crash constraints.

Alexander von Rohr, David Stenger, Dominik Scheurenberg, Sebastian Trimpe

Autom., April, 2024

Discovering Model Structure of Dynamical Systems with Combinatorial Bayesian Optimization.

Lucas Rath, Alexander von Rohr, Andreas Schultze, Sebastian Trimpe, Burkhard Corves

Trans. Mach. Learn. Res., 2024

Latent Action Priors From a Single Gait Cycle Demonstration for Online Imitation Learning.

Oliver Hausdörfer, Alexander von Rohr, Éric Lefort, Angela P. Schoellig

CoRR, 2024

2023

Experience Transfer for Robust Direct Data-Driven Control.

Alexander von Rohr, Dmitrii Likhachev, Sebastian Trimpe

CoRR, 2023

2022

Multi-Arm Bin-Picking in Real-Time: A Combined Task and Motion Planning Approach.

Ilyes Toumi, Andreas Orthey, Alexander von Rohr, Ngo Anh Vien

CoRR, 2022

Improving the Performance of Robust Control through Event-Triggered Learning.

Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

On Controller Tuning with Time-Varying Bayesian Optimization.

Paul Brunzema, Alexander von Rohr, Sebastian Trimpe

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Local policy search with Bayesian optimization.

Sarah Müller, Alexander von Rohr, Sebastian Trimpe

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Probabilistic robust linear quadratic regulators with Gaussian processes.

Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020

Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures.

Alonso Marco, Alexander von Rohr, Dominik Baumann, José Miguel Hernández-Lobato, Sebastian Trimpe

CoRR, 2020

2019

A Learnable Safety Measure.

Steve Heim, Alexander von Rohr, Sebastian Trimpe, Alexander Badri-Spröwitz

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Gait Learning for Soft Microrobots Controlled by Light Fields.

Alexander von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, Stefano Palagi

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018