activity
20192024
most citedLearning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning

5 citations · 6 across the 4 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

physics.acc-ph2024

KIT Superconducting Undulator Development -- Story of a successful industrial collaboration & future prospects

B. Krasch, A. Bernhard, E. Bründermann +9

Undulators are X-ray sources widely used in synchrotron storage rings and free-electron laser facilities. With the commercial availability of low-temperature superconductors, a new…

physics.acc-ph2024

Microsecond-Latency Feedback at a Particle Accelerator by Online Reinforcement Learning on Hardware

Luca Scomparin, Michele Caselle, Andrea Santamaria Garcia +11

The commissioning and operation of future large-scale scientific experiments will challenge current tuning and control methods. Reinforcement learning (RL) algorithms are a promisi…