Related papers: Aligning an optical interferometer with beam divergence control and continuous action space

Aligning an optical interferometer with beam divergence control and continuous action space

URL: http://arxiv.org/abs/2107.04457v1
Date: Fri, 9 Jul 2021 14:23:01 GMT
Title: Aligning an optical interferometer with beam divergence control and continuous action space
Authors: Stepan Makarenko, Dmitry Sorokin, Alexander Ulanov, A. I. Lvovsky
Abstract summary: We implement vision-based alignment of an optical Mach-Zehnder interferometer with a confocal telescope in one arm. In an experimental evaluation, the agent significantly outperforms an existing solution and a human expert.
Score: 64.71260357476602
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Reinforcement learning is finding its way to real-world problem application, transferring from simulated environments to physical setups. In this work, we implement vision-based alignment of an optical Mach-Zehnder interferometer with a confocal telescope in one arm, which controls the diameter and divergence of the corresponding beam. We use a continuous action space; exponential scaling enables us to handle actions within a range of over two orders of magnitude. Our agent trains only in a simulated environment with domain randomizations. In an experimental evaluation, the agent significantly outperforms an existing solution and a human expert.

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