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06/29/2023
Experience Transfer for Robust Direct Data-Driven Control
Learning-based control uses data to design efficient controllers for spe...
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11/20/2022
Multi-Arm Bin-Picking in Real-Time: A Combined Task and Motion Planning Approach
Automated bin-picking is a prerequisite for fully automated manufacturin...
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08/23/2022
Event-Triggered Time-Varying Bayesian Optimization
We consider the problem of sequentially optimizing a time-varying object...
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07/28/2022
Improving the Performance of Robust Control through Event-Triggered Learning
Robust controllers ensure stability in feedback loops designed under unc...
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07/22/2022
On Controller Tuning with Time-Varying Bayesian Optimization
Changing conditions or environments can cause system dynamics to vary ov...
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06/22/2021
Local policy search with Bayesian optimization
Reinforcement learning (RL) aims to find an optimal policy by interactio...
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05/17/2021
Probabilistic robust linear quadratic regulators with Gaussian processes
Probabilistic models such as Gaussian processes (GPs) are powerful tools...
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05/15/2020
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures
When learning to ride a bike, a child falls down a number of times befor...
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10/07/2019
A Learnable Safety Measure
Failures are challenging for learning to control physical systems since ...
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09/10/2018