Strategic reset points from good solutions dramatically improve RL sample efficiency for expensive optimization problems—you can use this as a plug-and-play improvement for any RL optimizer.
Lighthouse RL improves circuit design optimization by strategically restarting training episodes from high-performing configurations found during exploration. Instead of wasting time exploring bad regions, the method uses these 'lighthouse' states as better starting points, achieving faster convergence and better generalization across different design targets.