Chung-An Wang
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View article: Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration
Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration Open
This paper introduces new perspectives on analog design space search. To minimize the time-to-market, this endeavor better cast as constraint satisfaction problem than global optimization defined in prior arts. We incorporate model-based a…
View article: Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration
Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration Open
This paper introduces new perspectives on analog design space search. To minimize the time-to-market, this endeavor better cast as constraint satisfaction problem than global optimization defined in prior arts. We incorporate model-based a…
View article: Fast Design Space Adaptation with Deep Reinforcement Learning for Analog Circuit Sizing.
Fast Design Space Adaptation with Deep Reinforcement Learning for Analog Circuit Sizing. Open
We present a novel framework for design space search on analog circuit sizing using deep reinforcement learning (DRL). Nowadays, analog circuit design is a manual routine that requires heavy design efforts due to the absence of automation …