10 citations · 10 across the 1 of their papers we have counts for
3 papers
cs.LG2023
Macro Placement by Wire-Mask-Guided Black-Box Optimization
Yunqi Shi, Ke Xue, Lei Song +1
The development of very large-scale integration (VLSI) technology has posed new challenges for electronic design automation (EDA) techniques in chip floorplanning. During this proc…
cs.AI2023★ 4 cited
H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem
Xuanhao Pan, Yan Jin, Yuandong Ding +4
We propose an end-to-end learning framework based on hierarchical reinforcement learning, called H-TSP, for addressing the large-scale Travelling Salesman Problem (TSP). The propos…
cs.LG2022★ 10 cited
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song, Ke Xue, Xiaobin Huang +1
Bayesian optimization (BO) is a class of popular methods for expensive black-box optimization, and has been widely applied to many scenarios. However, BO suffers from the curse of…