Micro-LED backlight module by deep reinforcement learning and micro-macro-hybrid environment control agent

Che-Hsuan Huang; Yu-Tang Cheng; Yung-Chi Tsao; Xinke Liu; Hao-Chung Kuo

doi:10.1364/PRJ.441188

Journals >Photonics Research >Volume 10 >Issue 2 >Page 269 > Article

Photonics Research
Vol. 10, Issue 2, 269 (2022)

Micro-LED backlight module by deep reinforcement learning and micro-macro-hybrid environment control agent

Che-Hsuan Huang¹, Yu-Tang Cheng², Yung-Chi Tsao³, Xinke Liu⁴, and Hao-Chung Kuo⁵

Author Affiliations

¹College of Materials Science and Engineering, Guangdong Research Center for Interfacial Engineering of Functional Materials, Institute of Microelectronics (IME), Shenzhen University, Shenzhen 518060, China

²Department of Photonics & Institute of Electro-Optical Engineering, College of Electrical and Computer Engineering, Taiwan Yang Ming Chiao Tung University & Taiwan Chiao Tung University, Hsinchu 30010, China

³Department of Computer Science, University of Liverpool, Liverpool, UK

⁴College of Materials Science and Engineering, Guangdong Research Center for Interfacial Engineering of Functional Materials, Institute of Microelectronics (IME), Shenzhen University, Shenzhen 518060, China

⁵Department of Photonics & Institute of Electro-Optical Engineering, College of Electrical and Computer Engineering, Taiwan Yang Ming Chiao Tung University & Taiwan Chiao Tung University, Hsinchu 30010, China

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DOI: 10.1364/PRJ.441188 Cite this Article Set citation alerts

Che-Hsuan Huang, Yu-Tang Cheng, Yung-Chi Tsao, Xinke Liu, Hao-Chung Kuo. Micro-LED backlight module by deep reinforcement learning and micro-macro-hybrid environment control agent[J]. Photonics Research, 2022, 10(2): 269 Copy Citation Text

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Abstract

This paper proposes a micro-LED backlight module with a distributed Bragg reflector (DBR) structure to achieve excellent micro-LED backlight module quality and uses deep reinforcement learning (DRL) architecture for optical design. In the DRL architecture, to solve the computing environment problems of the two extreme structures of micro-scale and macro-scale, this paper proposes an environment control agent and virtual-realistic workflow to ensure that the design environment parameters are highly correlated with experimental results. This paper successfully designed a micro-LED backlight module with a DBR structure by the abovementioned methods. The micro-LED backlight module with a DBR structure improves the uniformity performance by 32% compared with the micro-LED backlight module without DBR, and the design calculation time required by the DRL method is only 17.9% of the traditional optical simulation.