Defining optical amplifiers gains using reinforcement learning

doi:10.1016/j.yofte.2025.104244

2025-05-14

PRE

José Carlos Pinheiro Filho

Carmelo J. A. Bastos-Filho

Raouf Boutaba

DOI：10.1016/j.yofte.2025.104244

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摘要

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• 首次利用强化学习算法对光放大器工作点的自适应控制问题进行了建模。 • 强化学习算法优于常规策略，并与进化方法相当。 • 在速度方面，所提出的算法能在2秒内给出解决方案，而进化算法需要约12分钟。

期刊

Optical Fiber Technology

IF:

2.7

论文数:

679

被引数:

6.1K

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