AJCAI2023 workshop: Machine Learning for Data-driven Optimization
-
Updated
Nov 27, 2023 - HTML
AJCAI2023 workshop: Machine Learning for Data-driven Optimization
Unofficial implemnetation of "Solving Quadratic Assignemt Problem using Deep Reinforcement Learning" (https://arxiv.org/abs/2310.01604)
[ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
The Neural Combinatorial Optimization Library (NCOLib) is an accessible software library designed to simplify the application of neural network models and deep learning algorithms to solve combinatorial optimization problems.
PARCO: Parallel AutoRegressive Combinatorial Optimization
[ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"
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.
[ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.
[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy"
[IROS'24] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Recent research papers about Foundation Models for Combinatorial Optimization
The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at NeurIPS2022.
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short oral at IJCAI 2022.
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Add a description, image, and links to the neural-combinatorial-optimization topic page so that developers can more easily learn about it.
To associate your repository with the neural-combinatorial-optimization topic, visit your repo's landing page and select "manage topics."