Analog Circuit Design Automation via Sequential RL Agents and Gm/ID Methodology

This paper studies the problem of designing analog circuits to achieve target specifications, which can be formulated as a multi-objective combinatorial optimization (MOCO) under uncertainty. We address this challenging problem using the g_{m} / I_{D} methodology and a reinforcement learning (RL)...

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