Reinforcement learning improves layout efficiency of pixel circuits, suggesting advancements in circuit design automation.
As high‐resolution AMOLED pixel circuits have become more complex, the automation for the circuit design process has been strongly demanded. In this paper, a reinforcement learningbased framework is proposed to optimize the area of the pixel circuit layout by iteratively device repositioning and connection rerouting, leading to significantly improved time and cost efficiency.
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Pyo et al. (2025) studied this question.
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