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

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.