OTF Gym: A Set of Reinforcement Learning Environment of Layered Optical Thin Film Inverse Design

Anqing Jiang, Liangyao Chen, Osamu Yoshie

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 publication2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580910
Publication statusPublished - 2021 May
Event2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States
Duration: 2021 May 92021 May 14

Publication series

Name2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings

Conference

Conference2021 Conference on Lasers and Electro-Optics, CLEO 2021
Country/TerritoryUnited States
CityVirtual, Online
Period21/5/921/5/14

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Fingerprint

Dive into the research topics of 'OTF Gym: A Set of Reinforcement Learning Environment of Layered Optical Thin Film Inverse Design'. Together they form a unique fingerprint.

Cite this