MA-Opt: Reinforcement Learning-based Analog Circuit Optimization using Multi-Actors
Author:
Affiliation:
1. POSTECH,Department of EE,Pohang,South Korea
Funder
IITP
IC Design Education Center
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10136870/10136706/10136894.pdf?arnumber=10136894
Reference21 articles.
1. AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs
2. Continuous control with deep reinforcement learning;lillicrap;International Conference on Machine Learning (ICML) 2016,0
3. Prioritized reinforcement learning for analog circuit optimization with design knwoledge;somayaji;2021 58th ACM/IEEE Design Automation Conference (DAC),0
4. GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
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1. MA-Opt: Reinforcement Learning-Based Analog Circuit Optimization Using Multi-Actors;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-05
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