ACEMARL: Adaptive Clustering Enhanced Multi-Agent Reinforcement Learning for Analog Circuit Sizing
Published in Design, Automation & Test in Europe Conference (DATE), 2026
ACEMARL uses adaptive, data-driven clustering to discover functionally related circuit parameters and assign agents automatically. The paper is available through the DOI link above.
Recommended citation: H. Wu, H. Jiang, Z. Ouyang, Z. Wang, Q. Shen, B. Yuan, Y. Lu, and J. Jiang. (2026). "ACEMARL: Adaptive Clustering Enhanced Multi-Agent Reinforcement Learning for Analog Circuit Sizing." Design, Automation & Test in Europe Conference, 1–7.
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