From the 1 of 21 linked papers with an AI index.
6 papers · 1 filter
Machine Learning-based Two-Stage Graph Sparsification for the Travelling Salesman Problem
Bo-Cheng Lin, Yi Mei, Mengjie Zhang
High-performance TSP solvers such as Lin-Kernighan-Helsgaun (LKH) search within a \emph{candidate graph} -- a small subset of edges pre-selected for the solver -- rather than over…
Keep Rehearsing and Refining: Lifelong Learning Vehicle Routing under Continually Drifting Tasks
Jiyuan Pei, Yi Mei, Jialin Liu +2
Existing neural solvers for vehicle routing problems (VRPs) are typically trained either in a one-off manner on a fixed set of pre-defined tasks or in a lifelong manner with tasks…
ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models using Pareto High-quality Data
Haoran Gu, Handing Wang, Yi Mei +2
Aligning large language models with multiple human expectations and values is crucial for ensuring that they adequately serve a variety of user needs. To this end, offline multiobj…
SymLight: Exploring Interpretable and Deployable Symbolic Policies for Traffic Signal Control
Xiao-Cheng Liao, Yi Mei, Mengjie Zhang
Deep Reinforcement Learning have achieved significant success in automatically devising effective traffic signal control (TSC) policies. Neural policies, however, tend to be over-p…
LiBOG: Lifelong Learning for Black-Box Optimizer Generation
Jiyuan Pei, Yi Mei, Jialin Liu +1
Meta-Black-Box Optimization (MetaBBO) garners attention due to its success in automating the configuration and generation of black-box optimizers, significantly reducing the human…
Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control
Xiao-Cheng Liao, Yi Mei, Mengjie Zhang +1
Appropriate traffic state representation is crucial for learning traffic signal control policies. However, most of the current traffic state representations are heuristically desig…