11 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 5 cited
Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning
Jan Kaiser, Chenran Xu, Annika Eichler +9
Online tuning of real-world plants is a complex optimisation problem that continues to require manual intervention by experienced human operators. Autonomous tuning is a rapidly ex…
physics.acc-ph2022★ 11 cited
Bayesian Optimization of the Beam Injection Process into a Storage Ring
Chenran Xu, Tobias Boltz, Akira Mochihashi +3
We have evaluated the data-efficient Bayesian optimization method for the specific task of injection tuning in a circular accelerator. In this paper, we describe the implementation…