neural-combinatorial-optimization topic

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

pemami4911

Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper

kevin031060

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

ai4co

This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.

yining043

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

This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short oral at IJCAI 2022.

yining043

[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time

henry-yeh

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

henry-yeh

The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at NeurIPS2022.

jieyibi

[NeurIPS 2024] Large Language Models as Hyper-Heuristics for Combinatorial Optimization (CO)

ai4co