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

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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 op- timization targets(material, thickness, structural) with a single-agent and multi-agent reinforcement learning algorithm. This code is available in Github.

© 2021 The Author(s)

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