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)

Code repo for Yimeng Min, and Carla P. Gomes. "Unsupervised Ordering for Maximum Clique." arXiv preprint arXiv:2503.21814 (2025).

Code repo for Yimeng Min, and Carla P. Gomes. "Unsupervised Learning for Quadratic Assignment." arXiv preprint arXiv:2503.20001 (2025).

Variant of gumbeldore for the ECAI paper "Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization"

Unraveling the Rainbow: can value-based methods schedule?

[ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More

[ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"

[AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems

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.

[ICLR 2025] UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP

[NeurIPS 2025] PARCO: Parallel AutoRegressive Combinatorial Optimization

Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement"

A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.

Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy"

[ICLR 2026] Neural Combinatorial Optimization for Real-World Routing

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