WebThis article is cited by 127 publications. Jeong Hyun Han, Yae-Chan Lim, Ryeong Myeong Kim, Jiawei Lv, Nam Heon Cho, Hyeohn Kim, Seok Daniel Namgung, Sang Won Im, Ki Tae Nam. Neural-Network-Enabled Design of a Chiral Plasmonic Nanodimer for Target-Specific Chirality Sensing. Web3 de fev. de 2024 · Thus, reinforcement learning is more suitable than deep-learning-based inverse design methods when users want to optimize the design performance. Because the multi-layer optical design task is equivalent to a sequence generation problem, we propose a DRL method called optical multi-layer proximal policy optimization (OML …
Deep Learning Through the Lens of Example Difficulty
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On the Use of Deep Learning for Lens Design - Optica
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