Add to BibSonomyAbstract
To automate optical system design, a Reinforcement Learning algorithm using lens improvement methods as parameter optimization or lens adding is developed. A proof of concept using lens bending is demonstrated for different learning strategies.
© 2021 The Author(s)
PDF Article | Presentation VideoMore Like This
Dynamic Modulation Format and Wavelength Assignment in Optical Networks using Reinforcement Learning
Maria Freire-Hermelo, Antoine Lavignotte, and Catherine Lepers
NeF2B.4 Photonic Networks and Devices (Networks) 2021
OTF Gym: A Set of Reinforcement Learning Environment of Layered Optical Thin Film Inverse Design
Anqing Jiang, Liangyao Chen, and Osamu Yoshie
SM1Q.7 CLEO: Science and Innovations (CLEO:S&I) 2021
A Waveband Routing Method in Optical Networks Based on the Deep Reinforcement Learning
Yang Liu, Bin Chen, Gongchao Su, Mingjun Dai, and Xiaohui Lin
JS3C.1 Optoelectronics and Communications Conference (OECC) 2021