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A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Created
2023-02-23
1,521 commits to main branch, last one 4 days ago
Recent research papers about Foundation Models for Combinatorial Optimization
Created
2024-03-07
47 commits to main branch, last one a day 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 about a month 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
282 commits to main branch, last one 17 days 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 5 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
136 commits to master branch, last one 8 days ago
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
Created
2023-09-04
126 commits to main branch, last one about a month 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 about a year ago
[ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Created
2024-06-21
35 commits to main branch, last one about a month ago
[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
Created
2023-07-05
45 commits to main branch, last one 4 months 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 5 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 3 months ago
[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Created
2024-02-28
16 commits to main branch, last one about a month ago