RLCkt II: Deep Reinforcement Learning via Attention-Aware Sampling for Analog Integrated Circuit Transistor Sizing Automation
Author:
Affiliation:
1. School of Information Science and Technology, Fudan University,Shanghai,China
2. Suzhou Foohu Technology Co., Ltd.,Shanghai,China
Funder
National Key R&D Program of China
Natural Science Foundation of Shanghai
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10616249/10617469/10617708.pdf?arnumber=10617708
Reference10 articles.
1. GCN - RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning;Hanrui;Cornell University - arXiv, Cornell University - arXiv,2020
2. Machine Learning in VLSI Computer-Aided Design
3. Learning to Design Circuits;Hanrui;arXiv: Learning, arXiv: Learning,2018
4. Anaconda: simulation-based synthesis of analog circuits via stochastic pattern search
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