omargup / neural_combinatorial_optimizationLinks
A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.
☆13Updated 4 years ago
Alternatives and similar repositories for neural_combinatorial_optimization
Users that are interested in neural_combinatorial_optimization are comparing it to the libraries listed below
Sorting:
- Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning☆42Updated 2 years ago
- ☆17Updated 6 years ago
- Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"☆16Updated 9 months ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆100Updated 2 years ago
- ☆35Updated 5 years ago
- ☆32Updated 2 years ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆27Updated 4 years ago
- [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut☆22Updated last year
- ☆25Updated 3 years ago
- ☆41Updated this week
- ☆21Updated 3 years ago
- ☆14Updated 2 years ago
- Population-Based Reinforcement Learning for Combinatorial Optimization☆77Updated last year
- the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning☆9Updated 2 years ago
- (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices☆23Updated 4 years ago
- Learning Heuristic Selection with Dynamic Algorithm Configuration (AI Planning)☆8Updated 9 months ago
- ☆14Updated 2 years ago
- Solving Traveling Salesman Problem with reinforcement learning...☆57Updated 5 years ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 5 years ago
- A reinforcement learning based solver for combinatorial problems☆44Updated 3 years ago
- Efficient Active Search☆52Updated 3 years ago
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆60Updated 2 years ago
- Attention based model for learning to solve different routing problems☆41Updated 3 years ago
- codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"☆69Updated 3 years ago
- TranSPormer: a transformer for the Travelling Salesman Problem☆26Updated last year
- Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem☆39Updated 3 years ago
- Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)☆23Updated 2 years ago
- Implementation of basic CDCL-based SAT solver in Python☆10Updated 4 years ago
- ☆21Updated 3 years ago
- Official Repository for the ICLR 2022 paper "Generalization of Neural Combinatorial Solvers through the Lens of Adversarial Robustness"☆14Updated 2 years ago