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Parameterized reinforcement learning for optical system optimization

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Wankerl, Heribert ; Stern, Maike L. ; Mahdavi, Ali ; Eichler, Christoph ; Lang, Elmar W.
License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 12 Jul 2021 08:21


Engineering a physical system to feature designated characteristics states an inverse design problem, which is often determined by several discrete and continuous parameters. If such a system must feature a particular behavior, the mentioned combination of both, discrete and continuous, parameters results in a challenging optimization problem that requires an extensive search for an optimal ...


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