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20162023
most citedVirtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization

114 citations · 408 across the 9 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

eess.SY2018★ 106 cited

Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study

Matthias Neumann-Brosig, Alonso Marco, Dieter Schwarzmann +1

Bayesian optimization is proposed for automatic learning of optimal controller parameters from experimental data. A probabilistic description (a Gaussian process) is used to model…

cs.RO2018★ 23 cited

Gait learning for soft microrobots controlled by light fields

Alexander von Rohr, Sebastian Trimpe, Alonso Marco +2

Soft microrobots based on photoresponsive materials and controlled by light fields can generate a variety of different gaits. This inherent flexibility can be exploited to maximize…