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ORCIDAlonso Marco
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2020 – today
- 2023
[c8]Alonso Marco, Elias Morley, Claire J. Tomlin:
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models. CDC 2023: 5487-5493- [i11]Alonso Marco, Elias Morley, Claire J. Tomlin:
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models. CoRR abs/2309.06655 (2023) - 2021
- [j2]Alonso Marco
, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe:
Robot Learning With Crash Constraints. IEEE Robotics Autom. Lett. 6(2): 1439-1446 (2021) - [c7]Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe:
GoSafe: Globally Optimal Safe Robot Learning. ICRA 2021: 4452-4458 - [i10]Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe:
GoSafe: Globally Optimal Safe Robot Learning. CoRR abs/2105.13281 (2021) - 2020
- [b1]Alonso Marco:
Bayesian Optimization in Robot Learning - Automatic Controller Tuning and Sample-Efficient Methods. Tübingen University, Germany, 2020 - [j1]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): 730-740 (2020) - [i9]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 abs/2005.07443 (2020) - [i8]Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe:
Robot Learning with Crash Constraints. CoRR abs/2010.08669 (2020)
2010 – 2019
- 2019
- [i7]Alonso Marco, Dominik Baumann, Philipp Hennig, Sebastian Trimpe:
Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties. CoRR abs/1907.10383 (2019) - 2018
- [c6]Alexander von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, Stefano Palagi:
Gait Learning for Soft Microrobots Controlled by Light Fields. IROS 2018: 6199-6206 - [i6]Alexander von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, Stefano Palagi:
Gait learning for soft microrobots controlled by light fields. CoRR abs/1809.03225 (2018) - [i5]Matthias Neumann-Brosig, Alonso Marco, Dieter Schwarzmann, Sebastian Trimpe:
Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study. CoRR abs/1812.06325 (2018) - 2017
- [c5]Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe:
On the design of LQR kernels for efficient controller learning. CDC 2017: 5193-5200 - [c4]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: 227-238 - [c3]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: 1557-1563 - [c2]Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe:
Model-based policy search for automatic tuning of multivariate PID controllers. ICRA 2017: 5295-5301 - [i4]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 abs/1703.01250 (2017) - [i3]Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe:
Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers. CoRR abs/1703.02899 (2017) - [i2]Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe:
On the Design of LQR Kernels for Efficient Controller Learning. CoRR abs/1709.07089 (2017) - 2016
- [c1]Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe:
Automatic LQR tuning based on Gaussian process global optimization. ICRA 2016: 270-277 - [i1]Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe:
Automatic LQR Tuning Based on Gaussian Process Global Optimization. CoRR abs/1605.01950 (2016)
Coauthor Index
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