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Photonics Research, Volume. 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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    The article is cited by 14 article(s) from Web of Science.
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    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," Photonics Res. 10, 269 (2022)

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    Paper Information

    Category: Optical Devices

    Received: Aug. 25, 2021

    Accepted: Sep. 23, 2021

    Published Online: Jan. 5, 2022

    The Author Email:

    DOI:10.1364/PRJ.441188

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology