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Author: B. Rodriguez Mateos


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Reference
B. Rodriguez Mateos, T. Argyropoulos, F. Carlier, V. Kain, M. Schenk, and M. Slupecki, “Operational results of data-driven automated intensity optimization at CERN’s LEIR”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM109, pp. 2913-2916.
C. Xu et al., “Efficient data-driven model predictive control for online accelerator tuning”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM116, pp. 2931-2934.
A. Menor De Onate, N. Bruchon, V. Kain, B. Rodriguez Mateos, and M. Schenk, “Trajectory steering for DC beams at the CERN SPS using reinforcement learning based on intensity measurements”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM113, pp. 2928-2930.
A. Gilardi et al., “Toward autonomous control: reinforcement learning for improving CLEAR accelerator performance”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM032, pp. 2751-2754.
V. Kain, N. Bruchon, S. Hirlaender, D. Küchler, and B. Rodriguez Mateos, “Continuous data-driven control of the GTS-LHC ion source at CERN”, in Proc. 26th International Workshop on ECR Ion Sources (ECRIS'24), Darmstadt, Germany, Sep. 2024, pp. 56-59.


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