AI4CO

rl4co

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

awesome-fm4co

Recent research papers about Foundation Models for Combinatorial Optimization

reevo

[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

routefinder

[ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems

eph-mapf

[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding

gfacs

Official repository for GFACS

parco

PARCO: Parallel AutoRegressive Combinatorial Optimization

camp

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

devformer

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

unsupervised-CO-ucom2

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

research-project-page-template

Simple research/academic project page template. No installation required!

ai4co-homepage

The landing page for AI4CO - WIP

assets

Collection of source files for AI4CO swag

rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

rl4co-old-homepage

[Replaced by gh-pages branch in rl4co repo] The old landing page for RL4CO: https://ai4co.github.io/rl4co-old-homepage/

.github

HGS-CVRP

Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.