"Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical ..."

Yannick Uhlmann et al. (2022)

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DOI: 10.1145/3551901.3556474

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-21

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  - https://dblp.org/rec/conf/mlcad/UhlmannEBSC22
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. MLCAD 2022: 21-26

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