A Circuit Attention Network-Based Actor-Critic Learning Approach to Robust Analog Transistor Sizing

2021 ACM/IEEE 3rd Workshop on Machine Learning for CAD (MLCAD)(2021)

Cited 5|Views21
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Abstract
Analog integrated circuit design is highly complex and its automation is a long-standing challenge. We present a reinforcement learning approach to automatic transistor sizing, a key step in determining analog circuit performance. A circuit attention network technique is developed to capture the impact of transistor sizing on circuit performance in an actor-critic learning framework. Our approach ...
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Key words
learning,transistor,attention,network-based,actor-critic
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