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[n]	W. Van Herck, G. Pospelov, R. Lange, and R. Gunion, “Robust and maintainable operation using behavior tree semantics”, in Proc. ICALEPCS'25, Chicago, IL, USA, Sep. 2025, pp. 789-796. doi:10.18429/JACoW-ICALEPCS2025-WEAG004

[n]	D. Zebele, M. Montis, L. Bellan, and Y. K. Ong, “Reinforcement learning approaches for parameter tuning in particle accelerators”, presented at the ICALEPCS'25, Chicago, IL, USA, Sep. 2025, paper WEPD081, unpublished. 

[n]	C. Allen, C. McChesney, M. Davidsaver, M. Frauenheim, and L. Dalesio, “Overview and status of the Machine Learning Data Platform project”, in Proc. ICALEPCS'25, Chicago, IL, USA, Sep. 2025, pp. 1239-1245. doi:10.18429/JACoW-ICALEPCS2025-WEPD083

[n]	M. Henderson and J. Edelen, “Reinforcement learning for automation of accelerator tuning”, presented at the ICALEPCS'25, Chicago, IL, USA, Sep. 2025, paper WEPD085, unpublished. 

[n]	S. Joshi and D. Steinkamp, “Redis-based streaming architecture for accelerator beam instrumentation DAQ systems”, in Proc. ICALEPCS'25, Chicago, IL, USA, Sep. 2025, pp. 777-782. doi:10.18429/JACoW-ICALEPCS2025-WEAG002

[n]	Z. Zhu and A. Edelen, “Machine learning–based longitudinal phase space control for X-ray free-electron laser”, presented at the ICALEPCS'25, Chicago, IL, USA, Sep. 2025, paper WEPD087, unpublished. 

For LaTeX

%\cite{Van Herck:ICALEPCS25-WEAG004} \bibitem{Van Herck:ICALEPCS25-WEAG004} W. Van Herck, G. Pospelov, R. Lange, and R. Gunion, \textquotedblleft{Robust and maintainable operation using behavior tree semantics}\textquotedblright, in \emph{Proc. ICALEPCS’25}, Chicago, IL, USA, Sep. 2025, pp. 789--796. \doi{10.18429/JACoW-ICALEPCS2025-WEAG004} %\cite{Zebele:ICALEPCS25-WEPD081} \bibitem{Zebele:ICALEPCS25-WEPD081} D. Zebele, M. Montis, L. Bellan, and Y. K. Ong, \textquotedblleft{Reinforcement learning approaches for parameter tuning in particle accelerators}\textquotedblright, presented at the ICALEPCS’25, Chicago, IL, USA, Sep. 2025, paper WEPD081, unpublished. %\cite{Allen:ICALEPCS25-WEPD083} \bibitem{Allen:ICALEPCS25-WEPD083} C. Allen, C. McChesney, M. Davidsaver, M. Frauenheim, and L. Dalesio, \textquotedblleft{Overview and status of the Machine Learning Data Platform project}\textquotedblright, in \emph{Proc. ICALEPCS’25}, Chicago, IL, USA, Sep. 2025, pp. 1239--1245. \doi{10.18429/JACoW-ICALEPCS2025-WEPD083} %\cite{Henderson:ICALEPCS25-WEPD085} \bibitem{Henderson:ICALEPCS25-WEPD085} M. Henderson and J. Edelen, \textquotedblleft{Reinforcement learning for automation of accelerator tuning}\textquotedblright, presented at the ICALEPCS’25, Chicago, IL, USA, Sep. 2025, paper WEPD085, unpublished. %\cite{Joshi:ICALEPCS25-WEAG002} \bibitem{Joshi:ICALEPCS25-WEAG002} S. Joshi and D. Steinkamp, \textquotedblleft{Redis-based streaming architecture for accelerator beam instrumentation DAQ systems}\textquotedblright, in \emph{Proc. ICALEPCS’25}, Chicago, IL, USA, Sep. 2025, pp. 777--782. \doi{10.18429/JACoW-ICALEPCS2025-WEAG002} %\cite{Zhu:ICALEPCS25-WEPD087} \bibitem{Zhu:ICALEPCS25-WEPD087} Z. Zhu and A. Edelen, \textquotedblleft{Machine learning–based longitudinal phase space control for X-ray free-electron laser}\textquotedblright, presented at the ICALEPCS’25, Chicago, IL, USA, Sep. 2025, paper WEPD087, unpublished.

For BibTeX

@inproceedings{van herck:icalepcs25-weag004, author = {W. Van Herck and G. Pospelov and R. Lange and R. Gunion}, title = {{Robust and maintainable operation using behavior tree semantics}}, booktitle = {Proc. ICALEPCS'25}, pages = {789--796}, paper = {WEAG004}, venue = {Chicago, IL, USA}, series = {Int. Conf. on Accelerator and Large Experimental Physics Control Systems}, number = {20}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {12}, year = {2025}, issn = {2226-0358}, isbn = {978-3-95-450255-4}, doi = {10.18429/JACoW-ICALEPCS2025-WEAG004}, language = {english} } @unpublished{zebele:icalepcs25-wepd081, author = {D. Zebele and M. Montis and L. Bellan and Y. K. Ong}, title = {{Reinforcement learning approaches for parameter tuning in particle accelerators}}, booktitle = {Proc. ICALEPCS'25}, pages = {}, paper = {WEPD081}, venue = {Chicago, IL, USA}, intype = {presented at the}, series = {Int. Conf. on Accelerator and Large Experimental Physics Control Systems}, number = {20}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {12}, year = {2025}, issn = {2226-0358}, isbn = {978-3-95-450255-4}, note = {presented at ICALEPCS'25, Chicago, IL, USA, Sep. 2025, paper WEPD081, unpublished}, language = {english} } @inproceedings{allen:icalepcs25-wepd083, author = {C. Allen and C. McChesney and M. Davidsaver and M. Frauenheim and L. Dalesio}, title = {{Overview and status of the Machine Learning Data Platform project}}, booktitle = {Proc. ICALEPCS'25}, pages = {1239--1245}, paper = {WEPD083}, venue = {Chicago, IL, USA}, series = {Int. Conf. on Accelerator and Large Experimental Physics Control Systems}, number = {20}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {12}, year = {2025}, issn = {2226-0358}, isbn = {978-3-95-450255-4}, doi = {10.18429/JACoW-ICALEPCS2025-WEPD083}, language = {english} } @unpublished{henderson:icalepcs25-wepd085, author = {M. Henderson and J. Edelen}, title = {{Reinforcement learning for automation of accelerator tuning}}, booktitle = {Proc. ICALEPCS'25}, pages = {}, paper = {WEPD085}, venue = {Chicago, IL, USA}, intype = {presented at the}, series = {Int. Conf. on Accelerator and Large Experimental Physics Control Systems}, number = {20}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {12}, year = {2025}, issn = {2226-0358}, isbn = {978-3-95-450255-4}, note = {presented at ICALEPCS'25, Chicago, IL, USA, Sep. 2025, paper WEPD085, unpublished}, language = {english} } @inproceedings{joshi:icalepcs25-weag002, author = {S. Joshi and D. Steinkamp}, title = {{Redis-based streaming architecture for accelerator beam instrumentation DAQ systems}}, booktitle = {Proc. ICALEPCS'25}, pages = {777--782}, paper = {WEAG002}, venue = {Chicago, IL, USA}, series = {Int. Conf. on Accelerator and Large Experimental Physics Control Systems}, number = {20}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {12}, year = {2025}, issn = {2226-0358}, isbn = {978-3-95-450255-4}, doi = {10.18429/JACoW-ICALEPCS2025-WEAG002}, language = {english} } @unpublished{zhu:icalepcs25-wepd087, author = {Z. Zhu and A. Edelen}, title = {{Machine learning–based longitudinal phase space control for X-ray free-electron laser}}, booktitle = {Proc. ICALEPCS'25}, pages = {}, paper = {WEPD087}, venue = {Chicago, IL, USA}, intype = {presented at the}, series = {Int. Conf. on Accelerator and Large Experimental Physics Control Systems}, number = {20}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {12}, year = {2025}, issn = {2226-0358}, isbn = {978-3-95-450255-4}, note = {presented at ICALEPCS'25, Chicago, IL, USA, Sep. 2025, paper WEPD087, unpublished}, language = {english} }

References

• W. Van Herck, G. Pospelov, R. Lange, and R. Gunion, “Robust and maintainable operation using behavior tree semantics”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, pp. 789-796.
• D. Zebele, M. Montis, L. Bellan, and Y. K. Ong, “Reinforcement learning approaches for parameter tuning in particle accelerators”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD081, unpublished.
• C. Allen, C. McChesney, M. Davidsaver, M. Frauenheim, and L. Dalesio, “Overview and status of the Machine Learning Data Platform project”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, pp. 1239-1245.
• M. Henderson and J. Edelen, “Reinforcement learning for automation of accelerator tuning”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD085, unpublished.
• S. Joshi and D. Steinkamp, “Redis-based streaming architecture for accelerator beam instrumentation DAQ systems”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, pp. 777-782.
• Z. Zhu and A. Edelen, “Machine learning–based longitudinal phase space control for X-ray free-electron laser”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD087, unpublished.