machine-reasoning-ufrgs / TSP-GNN
Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G with up to a given cost?)
☆116Updated 5 years ago
Alternatives and similar repositories for TSP-GNN:
Users that are interested in TSP-GNN are comparing it to the libraries listed below
- ☆163Updated 5 years ago
- Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Sessi…☆317Updated 3 years ago
- Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem☆36Updated 3 years ago
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆81Updated 4 years ago
- This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…☆97Updated 10 months ago
- ☆51Updated 3 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆225Updated 3 years ago
- ☆131Updated 2 years ago
- [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing☆81Updated 3 years ago
- An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…☆92Updated 2 years ago
- ☆107Updated 4 years ago
- "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver☆173Updated 3 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆99Updated last year
- Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization☆189Updated 4 years ago
- Dynamic Attention Model for Vehicle Routing Problem (arXiv:2002.03282)☆122Updated last year
- A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem☆21Updated 4 years ago
- Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learni…☆93Updated 4 years ago
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆49Updated last year
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆68Updated 3 years ago
- This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"☆141Updated 2 years ago
- DPDP☆100Updated 2 years ago
- Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning☆50Updated 4 years ago
- ☆74Updated 2 years ago
- Learning to Perform Local Rewriting for Combinatorial Optimization☆150Updated 5 years ago
- L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China☆74Updated 2 months ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆98Updated 2 years ago
- My implementation of solving the Capacitated Vehicle Routing Problem in the paper "Attention, learn to solve routing problems"☆44Updated 4 years ago
- The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…☆161Updated 4 years ago
- codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"☆182Updated 2 years ago
- This is the implementation of my paper "Memory-Efficient Transformer-based Network Model for Traveling Salesman Problem"☆25Updated 2 years ago