Alonso Marco
Alonso Marco
Intelligent Control Systems, Max Planck Institute for Intelligent Systems
Verified email at tue.mpg.de - Homepage
Title
Cited by
Cited by
Year
Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization
A Marco, F Berkenkamp, P Hennig, AP Schoellig, A Krause, S Schaal, ...
2017 IEEE International Conference on Robotics and Automation (ICRA), 1557-1563, 2017
682017
Automatic LQR tuning based on Gaussian process global optimization
A Marco, P Hennig, J Bohg, S Schaal, S Trimpe
2016 IEEE international conference on robotics and automation (ICRA), 270-277, 2016
682016
Optimizing long-term predictions for model-based policy search
A Doerr, C Daniel, D Nguyen-Tuong, A Marco, S Schaal, T Marc, S Trimpe
Conference on Robot Learning, 227-238, 2017
242017
On the design of LQR kernels for efficient controller learning
A Marco, P Hennig, S Schaal, S Trimpe
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5193-5200, 2017
142017
Model-based policy search for automatic tuning of multivariate PID controllers
A Doerr, D Nguyen-Tuong, A Marco, S Schaal, S Trimpe
2017 IEEE International Conference on Robotics and Automation (ICRA), 5295-5301, 2017
132017
Data-Efficient Autotuning With Bayesian Optimization: An Industrial Control Study
M Neumann-Brosig, A Marco, D Schwarzmann, S Trimpe
IEEE Transactions on Control Systems Technology 28 (3), 730-740, 2019
82019
Gait learning for soft microrobots controlled by light fields
A von Rohr, S Trimpe, A Marco, P Fischer, S Palagi
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
62018
Automatic LQR tuning based on Gaussian process optimization: Early experimental results
A Marco, P Hennig, J Bohg, S Schaal, S Trimpe
Second Machine Learning in Planning and Control of Robot Motion Workshop at …, 2015
62015
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures
A Marco, A von Rohr, D Baumann, JM Hernández-Lobato, S Trimpe
arXiv preprint arXiv:2005.07443, 2020
2020
Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties
A Marco, D Baumann, P Hennig, S Trimpe
arXiv preprint arXiv:1907.10383, 2019
2019
Learning Robot Controllers under Unknown Failure Penalties using Bayesian Optimization
A Marco, S Trimpe
The system can't perform the operation now. Try again later.
Articles 1–11