DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks

no code implementations • 1 Oct 2021 • Ahmet F. Budak, Prateek Bhansali, Bo Liu, Nan Sun, David Z. Pan, Chandramouli V. Kashyap

The key contributions of this paper are a novel sample-efficient two-stage deep learning optimization framework leveraging RL actor-critic algorithms, and a recipe to extend it on large industrial circuits using critical device identification.

Reinforcement Learning (RL)