Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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 proceeding › Conference contribution › Research › peer-review
}
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