Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards - researchr publication

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Yannick Uhlmann, Michael Essich, Lennart Bramlage, Jürgen Scheible, Cristóbal Curio. Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards. In MLCAD '22: 2022 ACM/IEEE Workshop on Machine Learning for CAD, Virtual Event China, September 12 - 13, 2022. pages 21-26, ACM, 2022. [doi]

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