learning-to-optimize topic

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

VITA-Group

[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

VITA-Group

MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)

GMC-DRL

This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", which has been accepted at NeurIPS 2023.

yining043

[ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"

RoyalSkye

Optim4RL is a Jax framework of learning to optimize for reinforcement learning.

sail-sg

L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China

CIAM-Group

[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"

RoyalSkye