Alonso Marco

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 21

Top Topics

Gaussian Process

Top Venues

IEEE Robotics Autom. Lett.

Publications

Alonso Marco, Elias Morley, Claire J. Tomlin
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models. CoRR (2023)
Alonso Marco, Elias Morley, Claire J. Tomlin
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models. CDC (2023)
Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe
GoSafe: Globally Optimal Safe Robot Learning. CoRR (2021)
Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe
GoSafe: Globally Optimal Safe Robot Learning. ICRA (2021)
Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe
Robot Learning With Crash Constraints. IEEE Robotics Autom. Lett. 6 (2) (2021)
Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe
Robot Learning with Crash Constraints. CoRR (2020)
Matthias Neumann-Brosig, Alonso Marco, Dieter Schwarzmann, Sebastian Trimpe
Data-Efficient Autotuning With Bayesian Optimization: An Industrial Control Study. IEEE Trans. Control. Syst. Technol. 28 (3) (2020)
Alonso Marco, Alexander von Rohr, Dominik Baumann, José Miguel Hernández-Lobato, Sebastian Trimpe
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures. CoRR (2020)
Alonso Marco, Dominik Baumann, Philipp Hennig, Sebastian Trimpe
Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties. CoRR (2019)
Matthias Neumann-Brosig, Alonso Marco, Dieter Schwarzmann, Sebastian Trimpe
Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study. CoRR (2018)
Alexander von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, Stefano Palagi
Gait learning for soft microrobots controlled by light fields. CoRR (2018)
Alexander von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, Stefano Palagi
Gait Learning for Soft Microrobots Controlled by Light Fields. IROS (2018)
Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe
Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization. ICRA (2017)
Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
Optimizing Long-term Predictions for Model-based Policy Search. CoRL (2017)
Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe
Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers. CoRR (2017)
Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe
On the design of LQR kernels for efficient controller learning. CDC (2017)
Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe
On the Design of LQR Kernels for Efficient Controller Learning. CoRR (2017)
Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization. CoRR (2017)
Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe
Model-based policy search for automatic tuning of multivariate PID controllers. ICRA (2017)
Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe
Automatic LQR tuning based on Gaussian process global optimization. ICRA (2016)
Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe
Automatic LQR Tuning Based on Gaussian Process Global Optimization. CoRR (2016)