most citedTrust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration

26 citations · 26 across the 1 of their papers we have counts for

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1 paper

cs.LG2020★ 26 cited

Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration

Kai-En Yang, Chia-Yu Tsai, Hung-Hao Shen +6

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 optim…