code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem
☆59May 3, 2024Updated last year
Alternatives and similar repositories for UTSP
Users that are interested in UTSP are comparing it to the libraries listed below
Sorting:
- This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).☆34Sep 25, 2019Updated 6 years ago
- ☆43Nov 17, 2023Updated 2 years ago
- ☆46Apr 30, 2025Updated 10 months ago
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆41Apr 6, 2025Updated 11 months ago
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆29Jan 22, 2026Updated 2 months ago
- Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…☆24May 15, 2024Updated last year
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Dec 19, 2023Updated 2 years ago
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆101Jan 25, 2025Updated last year
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆245Sep 10, 2024Updated last year
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆73Jul 2, 2025Updated 8 months ago
- ☆47May 14, 2025Updated 10 months ago
- Official Implementation of the paper: INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer☆26Jul 4, 2024Updated last year
- Official repository for GFACS☆34May 17, 2024Updated last year
- [AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems☆31Dec 3, 2025Updated 3 months ago
- [NeurIPS 2025] PARCO: Parallel AutoRegressive Combinatorial Optimization☆44Dec 3, 2025Updated 3 months ago
- ☆91Mar 9, 2026Updated 2 weeks ago
- COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search☆42Jun 21, 2024Updated last year
- ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.☆42Nov 17, 2025Updated 4 months ago
- Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem☆29Feb 19, 2023Updated 3 years ago
- PyTorch code for the NAR4TSP.☆28Oct 31, 2024Updated last year
- Official implementation of H-TSP (AAAI2023)☆56Mar 21, 2025Updated last year
- ☆83Aug 5, 2022Updated 3 years ago
- The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)☆17Apr 5, 2024Updated last year
- Neural Destruction Search for Vehicle Routing Problems☆18Oct 6, 2025Updated 5 months ago
- L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China☆93May 28, 2025Updated 9 months ago
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆21Nov 16, 2024Updated last year
- [ICLR 2025] Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling☆17Oct 20, 2025Updated 5 months ago
- Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"☆23Mar 3, 2022Updated 4 years ago
- TranSPormer: a transformer for the Travelling Salesman Problem☆26Apr 27, 2024Updated last year
- [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization☆182Sep 29, 2024Updated last year
- Neural Combinatorial Optimization☆98Updated this week
- Population-Based Reinforcement Learning for Combinatorial Optimization☆87Feb 12, 2024Updated 2 years ago
- ☆23Feb 8, 2024Updated 2 years ago
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆58Jun 3, 2025Updated 9 months ago
- ☆12Nov 29, 2022Updated 3 years ago
- ☆23May 3, 2025Updated 10 months ago
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆52Jul 24, 2024Updated last year
- Official implementation of paper "Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling"☆66Feb 23, 2025Updated last year
- ☆24Dec 11, 2022Updated 3 years ago