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Deep reinforcement learning algorithm for self-tuning 8-figure fiber laser. / Kokhanovskiy, Alexey; Kuprikov, Evgeny; Serebrennikov, Kirill et al.

2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Kokhanovskiy, A, Kuprikov, E, Serebrennikov, K & Turitsyn, S 2021, Deep reinforcement learning algorithm for self-tuning 8-figure fiber laser. in 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021, Institute of Electrical and Electronics Engineers Inc., 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021, Munich, Germany, 21.06.2021. https://doi.org/10.1109/CLEO/Europe-EQEC52157.2021.9542236

APA

Kokhanovskiy, A., Kuprikov, E., Serebrennikov, K., & Turitsyn, S. (2021). Deep reinforcement learning algorithm for self-tuning 8-figure fiber laser. In 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021 (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CLEO/Europe-EQEC52157.2021.9542236

Vancouver

Kokhanovskiy A, Kuprikov E, Serebrennikov K, Turitsyn S. Deep reinforcement learning algorithm for self-tuning 8-figure fiber laser. In 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021). doi: 10.1109/CLEO/Europe-EQEC52157.2021.9542236

Author

Kokhanovskiy, Alexey ; Kuprikov, Evgeny ; Serebrennikov, Kirill et al. / Deep reinforcement learning algorithm for self-tuning 8-figure fiber laser. 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021).

BibTeX

@inproceedings{3af1855bb23e477f89fa69db2df78598,
title = "Deep reinforcement learning algorithm for self-tuning 8-figure fiber laser",
abstract = "Machine learning (ML) algorithms have already shown their efficiency for adjusting fiber-mode-locked lasers [1]. However, the performance of reinforcement (RL) learning algorithms required for robust application of ML methods in practical environment is yet to be verified in different laser systems [2]. Implementation of RL algoritms may reveal unknown strategies for adjusting complex laser systems since such algorithms consider intermidiate states of the system during the training process.",
author = "Alexey Kokhanovskiy and Evgeny Kuprikov and Kirill Serebrennikov and Sergey Turitsyn",
note = "Funding Information: This work was supported by the Russian Science Foundation (Grant No. 17-72-30006) Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021 ; Conference date: 21-06-2021 Through 25-06-2021",
year = "2021",
month = jun,
doi = "10.1109/CLEO/Europe-EQEC52157.2021.9542236",
language = "English",
series = "2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021",
address = "United States",

}

RIS

TY - GEN

T1 - Deep reinforcement learning algorithm for self-tuning 8-figure fiber laser

AU - Kokhanovskiy, Alexey

AU - Kuprikov, Evgeny

AU - Serebrennikov, Kirill

AU - Turitsyn, Sergey

N1 - Funding Information: This work was supported by the Russian Science Foundation (Grant No. 17-72-30006) Publisher Copyright: © 2021 IEEE.

PY - 2021/6

Y1 - 2021/6

N2 - Machine learning (ML) algorithms have already shown their efficiency for adjusting fiber-mode-locked lasers [1]. However, the performance of reinforcement (RL) learning algorithms required for robust application of ML methods in practical environment is yet to be verified in different laser systems [2]. Implementation of RL algoritms may reveal unknown strategies for adjusting complex laser systems since such algorithms consider intermidiate states of the system during the training process.

AB - Machine learning (ML) algorithms have already shown their efficiency for adjusting fiber-mode-locked lasers [1]. However, the performance of reinforcement (RL) learning algorithms required for robust application of ML methods in practical environment is yet to be verified in different laser systems [2]. Implementation of RL algoritms may reveal unknown strategies for adjusting complex laser systems since such algorithms consider intermidiate states of the system during the training process.

UR - http://www.scopus.com/inward/record.url?scp=85117562822&partnerID=8YFLogxK

UR - https://elibrary.ru/item.asp?id=47515853

U2 - 10.1109/CLEO/Europe-EQEC52157.2021.9542236

DO - 10.1109/CLEO/Europe-EQEC52157.2021.9542236

M3 - Conference contribution

AN - SCOPUS:85117562822

T3 - 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021

BT - 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021

Y2 - 21 June 2021 through 25 June 2021

ER -

ID: 34537168