Alonso Marco

22 papers A* 4A 1Misc 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2023 — conf
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models.
CDC
Alonso Marco, Elias Morley, Claire J. Tomlin
2023 J jnl
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models.
CoRR
Alonso Marco, Elias Morley, Claire J. Tomlin
2021 A* conf
GoSafe: Globally Optimal Safe Robot Learning.
ICRA
Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe
2021 J jnl
GoSafe: Globally Optimal Safe Robot Learning.
CoRR
Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe
2021 J jnl
Robot Learning With Crash Constraints.
IEEE Robotics Autom. Lett.
Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe
2020 — —
Bayesian Optimization in Robot Learning - Automatic Controller Tuning and Sample-Efficient Methods
Alonso Marco
2020 J jnl
Data-Efficient Autotuning With Bayesian Optimization: An Industrial Control Study.
IEEE Trans. Control. Syst. Technol.
Matthias Neumann-Brosig, Alonso Marco, Dieter Schwarzmann, Sebastian Trimpe
2020 J jnl
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures.
CoRR
Alonso Marco, Alexander von Rohr, Dominik Baumann, José Miguel Hernández-Lobato, Sebastian Trimpe
2020 J jnl
Robot Learning with Crash Constraints.
CoRR
Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe
2019 J jnl
Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties.
CoRR
Alonso Marco, Dominik Baumann, Philipp Hennig, Sebastian Trimpe
2018 J jnl
Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study.
CoRR
Matthias Neumann-Brosig, Alonso Marco, Dieter Schwarzmann, Sebastian Trimpe
2018 A conf
Gait Learning for Soft Microrobots Controlled by Light Fields.
IROS
Alexander von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, Stefano Palagi
2018 J jnl
Gait learning for soft microrobots controlled by light fields.
CoRR
Alexander von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, Stefano Palagi
2017 J jnl
Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers.
CoRR
Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe
2017 A* conf
Model-based policy search for automatic tuning of multivariate PID controllers.
ICRA
Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe
2017 J jnl
On the Design of LQR Kernels for Efficient Controller Learning.
CoRR
Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe
2017 — conf
On the design of LQR kernels for efficient controller learning.
CDC
Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe
2017 Misc conf
Optimizing Long-term Predictions for Model-based Policy Search.
CoRL
Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
2017 J jnl
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization.
CoRR
Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe
2017 A* conf
Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization.
ICRA
Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe
2016 J jnl
Automatic LQR Tuning Based on Gaussian Process Global Optimization.
CoRR
Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe
2016 A* conf
Automatic LQR tuning based on Gaussian process global optimization.
ICRA
Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe