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Author: A. Santamaría García


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Reference
S. Hirlaender et al., “Towards few-shot reinforcement learning in particle accelerator control”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS60, this conference.
L. Scomparin et al., “Preliminary results on the reinforcement learning-based control of the microbunching instability”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS61, this conference.
A. Santamaria Garcia et al., “The reinforcement learning for autonomous accelerators collaboration”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS62, this conference.
F. Donoso et al., “Longitudinal phase space density tomography constrained by the Vlasov-Fokker-Planck equation”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper WEPG55, this conference.
A. Santamaria Garcia et al., “How Can Machine Learning Help Future Light Sources?”, in Proc. 67th ICFA Advanced Beam Dynamics Workshop on Future Light Sources (FLS'23), Luzern, Switzerland, Aug.-Sep. 2023, paper TH3D3, pp. 249-256.
C. Xu, E. Blomley, A.-S. Müller, A. Santamaria Garcia, and M. Zhang, “Integration of an Optimizer Framework into the Control System at KARA”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper TUPDP030, pp. 570-574.


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