J. Kaiser1, C. Xu2, A. Eichler1, A. Santamaria Garcia2, O. Stein1, E. Bründermann2, W. Kuropka1, H. Dinter1, F. Mayet1, T. Vinatier1, F. Burkart1, H. Schlarb1
1Deutsches Elektronen-Synchrotron DESY, 2 Karlsruhe Institute of Technology KIT
arXiv
Abstract 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 expanding field of research, where learning-based methods, such as Reinforcement Learning-trained Optimisation (RLO) and Bayesian optimisation (BO), hold great promise for achieving outstanding plant performance and reducing tuning times....