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proceedings of accelator conferences held around the world
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URL | https://doi.org/10.18429/JACoW-IPAC2024-TUPS60 |
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Title | Towards few-shot reinforcement learning in particle accelerator control |
Authors |
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Abstract | This paper addresses the automation of particle accelerator control through reinforcement learning (RL). It highlights the potential to increase reliable performance, especially in light of new diagnostic tools and the increasingly complex variable schedules of specific accelerators. We focus on the physics simulation of the AWAKE electron line, an ideal platform for performing in-depth studies that allow a clear distinction between the problem and the performance of different algorithmic approaches for accurate analysis. The main challenges are the lack of realistic simulations and partially observable environments. We show how effective results can be achieved through meta-reinforcement learning, where an agent is trained to quickly adapt to specific real-world scenarios based on prior training in a simulated environment with variable unknowns. When suitable simulations are lacking or too costly, a model-based method using Gaussian processes is used for direct training in a few shots only. The work opens new avenues for implementing control automation in particle accelerators, significantly increasing their efficiency and adaptability. |
Paper | download: TUPS60.pdf |
Cite | BibTeX, LaTeX, Text/Word, RIS, EndNote |
Conference | 15th International Particle Accelerator Conference |
Series | |
Location | Nashville, TN |
Date | 19-24 May 2024 |
Publisher | JACoW Publishing, Geneva, Switzerland |
Editorial Board | Fulvia Pilat - Oak Ridge National Laboratory Wolfram Fischer - Brookhaven National Laboratory Robert Saethre - Oak Ridge National Laboratory Petr Anisimov - Los Alamos National Laboratory Ivan Andrian - Elettra-Sincrotrone Trieste S.C.p.A. |
Online ISBN | 978-3-95450-247-9 |
Online ISSN | 2673-5490 |
Received | 15 May 2024 |
Revised | 19 May 2024 |
Accepted | 20 May 2024 |
Issued | 01 July 2024 |
DOI | 10.18429/JACoW-IPAC2024-TUPS60 |
Pages | 1804-1807 |
Copyright | Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |