OTF Gym: A set of reinforcement learning environment of layered optical thin film inverse design

Anqing Jiang*, Liangyao Chen, Osamu Yoshie

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

OTF gym is a python library for optical thin film inverse design. This paper focuses on creating a collection of the reinforcement learning environment to achieve a multi-layer optical thin film inverse design. We develop environments based on TMM simulation to solve various optimization targets(material, thickness, structural) with a single-agent and multi-agent reinforcement learning algorithm. This code is available in Github.

Original languageEnglish
Title of host publicationCLEO
Subtitle of host publicationScience and Innovations, CLEO:S and I 2021
PublisherThe Optical Society
ISBN (Electronic)9781557528209
Publication statusPublished - 2021
EventCLEO: Science and Innovations, CLEO:S and I 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States
Duration: 2021 May 92021 May 14

Publication series

NameOptics InfoBase Conference Papers

Conference

ConferenceCLEO: Science and Innovations, CLEO:S and I 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021
Country/TerritoryUnited States
CityVirtual, Online
Period21/5/921/5/14

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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