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A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Created
2023-02-23
1,590 commits to main branch, last one 6 days ago
Recent research papers about Foundation Models for Combinatorial Optimization
Created
2024-03-07
79 commits to main branch, last one 4 days ago
[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
llm-agent
hyper-heuristics
genetic-algorithm
bin-packing-problem
orienteering-problem
large-language-models
reinforcement-learning
ant-colony-optimization
evolutionary-algorithms
vehicle-routing-problem
multiple-knapsack-problem
traveling-salesman-problem
electronic-design-automation
automatic-algorithm-generation
neural-combinatorial-optimization
Created
2023-11-20
300 commits to main branch, last one 15 hours ago
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
pytorch
meta-heuristic
neural-network
routing-problem
knapsack-problem
scheduling-problem
bin-packing-problem
graph-neural-networks
reinforcement-learning
ant-colony-optimization
vehicle-routing-problem
combinatorial-optimization
traveling-salesman-problem
deep-reinforcement-learning
neural-combinatorial-optimization
capacitated-vehicle-routing-problem
Created
2023-02-06
120 commits to main branch, last one 6 months ago
This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.
Created
2021-10-04
51 commits to new_version branch, last one 10 months ago
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
transformer
divide-and-conquer
non-autoregressive
graph-neural-networks
reinforcement-learning
vehicle-routing-problem
deep-reinforcement-learning
travelling-salesman-problem
autoregressive-neural-networks
neural-combinatorial-optimization
capacitated-vehicle-routing-problem
hierarchical-reinforcement-learning
prize-collecting-travelling-salesman-problem
Created
2022-09-13
137 commits to master branch, last one 2 months ago
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
Created
2023-09-04
134 commits to main branch, last one 2 months ago
[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
Created
2023-07-05
45 commits to main branch, last one 9 months ago
[ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Created
2024-06-21
53 commits to main branch, last one 14 days ago
This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short oral at IJCAI 2022.
Created
2022-04-23
24 commits to main branch, last one 2 years ago
The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at NeurIPS2022.
Created
2022-09-26
39 commits to main branch, last one 10 months ago
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.
Created
2023-08-09
19 commits to main branch, last one 8 months ago
[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Created
2024-02-28
16 commits to main branch, last one 6 months ago
Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement"
Created
2024-03-16
9 commits to main branch, last one 27 days ago