Lighthouse RL: Sample-Efficient Circuit Optimization via Strategic Reset Points
By Mustafa Emre Gürsoy · Paper · cs.LG
In this paper, we introduce Lighthouse RL, a sample-efficient reinforcement learning (RL) approach for analog circuit sizing. Traditional methods lack generalization across different performance targets, while standard RL approaches waste resources exploring unpromising regions.