xyfffff / rethink_mcts_for_tsp
[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
☆32Updated 7 months ago
Alternatives and similar repositories for rethink_mcts_for_tsp:
Users that are interested in rethink_mcts_for_tsp are comparing it to the libraries listed below
- PARCO: Parallel AutoRegressive Combinatorial Optimization☆18Updated 5 months ago
- [AAMAS 2025] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems☆19Updated 2 months ago
- [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems☆20Updated last week
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆24Updated 4 months ago
- ☆41Updated last month
- ☆25Updated last year
- ☆25Updated last year
- Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…☆22Updated 10 months ago
- Official repository for GFACS☆29Updated 9 months ago
- [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆64Updated last month
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆18Updated 3 months ago
- ☆37Updated last year
- multi-task learning for routing problem☆15Updated 4 months ago
- ☆21Updated 2 years ago
- ☆20Updated 3 weeks ago
- Official Implementation of the paper: INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer☆16Updated 8 months ago
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆41Updated 7 months ago
- PyTorch code for the NAR4TSP.☆20Updated 4 months ago
- ☆50Updated last week
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated last year
- ☆23Updated last year
- Neural Network for solving challenging Combinatorial Optimization Problems☆48Updated this week
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆48Updated last year
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆61Updated last month
- PyTorch code for the GNARKD.☆22Updated 11 months ago
- The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)☆12Updated 11 months ago
- codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"☆37Updated 2 years ago
- code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem☆48Updated 10 months ago
- ☆20Updated 3 years ago
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆52Updated 9 months ago