Machine Learning for Combinatorial Optimization - NeurIPS'21 competition

Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learning.

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Anytime Multi-Agent Path Finding via Large-Neighborhood Search

Awesome machine learning for combinatorial optimization papers.

Code for the paper "Solving Graph-based Public Good Games with Tree Search and Imitation Learning" by Victor-Alexandru Darvariu, Stephen Hailes and Mirco Musolesi, presented at NeurIPS 2021.

Learning to Perform Local Rewriting for Combinatorial Optimization

This repository contains the implementation of paper Online 3D Bin Packing with Constrained Deep Reinforcement Learning.

🗺️ Visualize and control algorithms for the traveling salesman problem

Extensible Combinatorial Optimization Learning Environments

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)

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

The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading notes.

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)

[NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing

Master's Thesis - Graph Neural Networks for Compact Representation for Job Shop Scheduling Problems: A Comparative Benchmark

Learning local search heuristics for Boolean satisfiability

Adaptive large neighbourhood search (and more!) in Python.

This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).

A survey on machine learning for combinatorial optimization.

Reinforcement learning approach for job shop scheduling

Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"

Benchmark instances for job-shop scheduling problem