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MACRO: RL Optimization for Op-Amps by shruthiuppar9 is a document available to read on EtoBox.

The document presents MACRO, a multi-agent reinforcement learning approach for optimizing operational amplifier design through cross-layer optimization. It addresses challenges such as high dimensionality and heterogeneity in circuit design, employing a multi-step process and co-evolution of agents for topology and parameter tuning. Experimental results demonstrate MACRO

Author
shruthiuppar9
Language
EN