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ai4co / rl4co

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

benchmark reinforcement-learning scheduling hydra attention vehicle-routing-problem tsp operations-research cvrp combinatorial-optimization attention-model neural-combinatorial-optimization electronic-design-automation pytorch-lightning torchrl tensordict

Updated May 12, 2026
Python

pemami4911 / neural-combinatorial-rl-pytorch

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

reinforcement-learning pytorch seq2seq neural-combinatorial-optimization

Updated May 29, 2018
Python

ai4co / awesome-fm4co

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Recent research papers about Foundation Models for Combinatorial Optimization

lists machine-learning awesome awesome-list combinatorial-optimization neural-combinatorial-optimization foundation-models

Updated Aug 26, 2026

ai4co / reevo

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

reinforcement-learning genetic-algorithm evolutionary-algorithms vehicle-routing-problem ant-colony-optimization neural-combinatorial-optimization electronic-design-automation traveling-salesman-problem hyper-heuristics orienteering-problem multiple-knapsack-problem bin-packing-problem large-language-models automatic-algorithm-generation llm-agent

Updated Jan 24, 2026
Python

henry-yeh / DeepACO

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

reinforcement-learning neural-network deep-reinforcement-learning pytorch vehicle-routing-problem meta-heuristic ant-colony-optimization knapsack-problem combinatorial-optimization neural-combinatorial-optimization scheduling-problem traveling-salesman-problem graph-neural-networks routing-problem capacitated-vehicle-routing-problem bin-packing-problem

Updated Sep 29, 2024
Jupyter Notebook

kevin031060 / RL_TSP_4static

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Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper

deep-reinforcement-learning multi-objective-optimization drl neural-combinatorial-optimization

Updated Jun 8, 2020
Python

ai4co / routefinder

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[TMLR 2025 → ICML 2026] RouteFinder: Towards Foundation Models for Vehicle Routing Problems

transformers vehicle-routing-problem neural-combinatorial-optimization foundation-models rl4co ai4co

Updated Dec 3, 2025
Python

yining043 / VRP-DACT

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

reinforcement-learning transformer vehicle-routing-problem vrp tsp neural-combinatorial-optimization

Updated Jun 3, 2024
Jupyter Notebook

henry-yeh / GLOP

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

reinforcement-learning deep-reinforcement-learning transformer vehicle-routing-problem hierarchical-reinforcement-learning divide-and-conquer travelling-salesman-problem neural-combinatorial-optimization autoregressive-neural-networks graph-neural-networks non-autoregressive capacitated-vehicle-routing-problem prize-collecting-travelling-salesman-problem

Updated Jan 25, 2025
Python

CIAM-Group / NCO_code

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L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China

multiobjective-optimization computational-intelligence combinatorial-optimization neural-combinatorial-optimization learning-to-optimize ml4co rl4co machine-learning-for-combinatorial-optimization

Updated May 28, 2025
Python

RoyalSkye / Routing-MVMoE

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

vehicle-routing-problem combinatorial-optimization zero-shot-learning generalization neural-combinatorial-optimization mixture-of-experts learning-to-optimize foundation-models

Updated Jun 3, 2025
Python

yining043 / PDP-N2S

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

reinforcement-learning transformer vehicle-routing-problem neural-combinatorial-optimization pickup-and-delivery

Updated Dec 11, 2022
Python

jieyibi / AMDKD

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

vehicle-routing-problem tsp knowledge-distillation cvrp generalization neural-combinatorial-optimization cross-distribution multi-teacher-kd

Updated Oct 30, 2025
Python

ai4co / eph-mapf

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

reinforcement-learning pathfinding multi-agent-systems combinatorial-optimization neural-combinatorial-optimization mapf multi-agent-reinforcement-learning multi-agent-pathfinding rl4co ai4co iros2024

Updated Oct 8, 2024
Python

ai4co / parco

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[NeurIPS 2025] PARCO: Parallel AutoRegressive Combinatorial Optimization

scheduling transformers combinatorial-optimization neural-combinatorial-optimization vehicle-routing rl4co ai4co

Updated Dec 3, 2025
Python

yining043 / NeuOpt

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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.

reinforcement-learning deep-reinforcement-learning transformer vehicle-routing-problem vrp tsp neural-combinatorial-optimization k-opt reward-shaping learning-to-optimize