Parameterized Reinforcement Learning for Optical System Optimization

9 October 2020

Papers citing "Parameterized Reinforcement Learning for Optical System Optimization"

4 / 4 papers shown

Title
Model-free reinforcement learning with noisy actions for automated experimental control in optics Lea Richtmann Viktoria-S. Schmiesing Dennis Wilken Jan Heine Aaron Tranter Avishek Anand Tobias J. Osborne M. Heurs 33 2 0 24 May 2024
Inverse design of nano-photonic wavelength demultiplexer with a deep neural network approach Mengwei Yuan Gang Yang Shijie Song Luping Zhou R. Minasian X. Yi 15 10 0 15 May 2022
TMM-Fast: A Transfer Matrix Computation Package for Multilayer Thin-Film Optimization Alexander Luce Ali Mahdavi F. Marquardt H. Wankerl 14 25 0 24 Nov 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,145 0 06 Jun 2015