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1 Ergebnisse
1
Deep Reinforcement Learning for Analog Circuit Sizing with ..:
, In:
Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD
,
Uhlmann, Yannick
;
Essich, Michael
;
Bramlage, Lennart
.. - p. 21-26 , 2022
Link:
https://dl.acm.org/doi/10.1145/3551901.3556474
RT T1 <cTitle>Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD</cTitle>: T1 <Title>Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3556474&Exemplar=1&LAN=DE A1 Uhlmann, Yannick A1 Essich, Michael A1 Bramlage, Lennart A1 Scheible, Jürgen A1 Curio, Cristóbal PB ACM YR 2022 K1 analog circuit sizing K1 neural networks K1 reinforcement learning K1 Hardware K1 Electronic design automation K1 Methodologies for EDA K1 Software tools for EDA K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Machine learning approaches K1 Neural networks SP 21 OP 26 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3551901.3556474 DO https://dl.acm.org/doi/10.1145/3551901.3556474 SF ELIB - SuUB Bremen
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