We experimentally demonstrate the application of a double deep Q-learning network
algorithm (DDQN) for design of a self-starting fiber mode-locked laser. In contrast to the …

Increasing complexity of modern laser systems, mostly originated from the nonlinear
dynamics of radiation, makes control of their operation more and more challenging, calling …

Fiber mode-locked lasers are nonlinear optical systems that provide ultrashort pulses at high
repetition rates. However, adjusting the cavity parameters is often a challenging task due to …

Self-tuning optical systems are of growing importance in technological applications such as
mode-locked fiber lasers. Such self-tuning paradigms require intelligent algorithms capable …

Recent years have witnessed growing research interest in dual-wavelength mode-locked
fiber lasers for their pivotal role in diverse applications and the exploration of nonlinear …

Integrating the information of the first cycle of an optical pulse in a cavity into the input of a
neural network, a bidirectional long short-term memory (Bi_LSTM) recurrent neural network …

A spectrum series learning-based model is presented for mode-locked fiber laser state
searching and switching. The mode-locked operation search policy is obtained by our …

We demonstrate that the integration of data-driven machine learning strategies with adaptive
control are capable of producing an efficient and optimal self-tuning algorithm for mode …

Many types of modern lasers feature nonlinear properties, which makes controlling their
operation a challenging engineering problem. In particular, fibre lasers present both high …

Mode locking of fiber lasers generally involves adjusting several control parameters, in
connection with a wide range of accessible short-pulse dynamics. In this Letter, we …