Alonso Marco

According to our database, Alonso Marco authored at least 14 papers between 2016 and 2023.

Collaborative distances:

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

2023

Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models.

Alonso Marco, Elias Morley, Claire J. Tomlin

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2021

Robot Learning With Crash Constraints.

Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe

IEEE Robotics Autom. Lett., 2021

GoSafe: Globally Optimal Safe Robot Learning.

Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Bayesian Optimization in Robot Learning - Automatic Controller Tuning and Sample-Efficient Methods

Alonso Marco

PhD thesis, 2020

Data-Efficient Autotuning With Bayesian Optimization: An Industrial Control Study.

Matthias Neumann-Brosig, Alonso Marco, Dieter Schwarzmann, Sebastian Trimpe

IEEE Trans. Control. Syst. Technol., 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

Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties.

Alonso Marco, Dominik Baumann, Philipp Hennig, Sebastian Trimpe

CoRR, 2019

2018

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

Matthias Neumann-Brosig, Alonso Marco, Dieter Schwarzmann, Sebastian Trimpe

CoRR, 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

2017

Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization.

Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Model-based policy search for automatic tuning of multivariate PID controllers.

Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Optimizing Long-term Predictions for Model-based Policy Search.

Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

On the design of LQR kernels for efficient controller learning.

Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Automatic LQR tuning based on Gaussian process global optimization.

Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016