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Deep reinforcement learning for self-tuning laser source of dissipative solitons

Abstract Increasing complexity of modern laser systems, mostly originated from the nonlinear dynamics of radiation, makes control of their operation more and more challenging, calling for development of new approaches in laser engineering. Machine learning methods, providing proven tools for identif...

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Hauptverfasser: Evgeny Kuprikov, Alexey Kokhanovskiy, Kirill Serebrennikov, Sergey Turitsyn
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2022-05-01
Schriftenreihe:Scientific Reports
Online Zugang:https://doi.org/10.1038/s41598-022-11274-w
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