dtkon / PDP-NCS
Detian Kong, Yining Ma, Zhiguang Cao, Tianshu Yu and Jianhua Xiao, "Efficient Neural Collaborative Search for Pickup and Delivery Problems".
☆12Updated 2 months ago
Alternatives and similar repositories for PDP-NCS:
Users that are interested in PDP-NCS are comparing it to the libraries listed below
- ☆20Updated 3 years ago
- [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems☆23Updated last week
- Implementation for the paper "A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems".☆40Updated last year
- This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short…☆57Updated 2 years ago
- A Reinforcement Learning Approach to the Orienteering Problem with Time Windows☆25Updated 3 years ago
- ☆51Updated 3 years ago
- ☆53Updated 2 years ago
- Official Implementation of the paper: INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer☆18Updated 9 months ago
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆52Updated 10 months ago
- Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning☆50Updated 4 years ago
- Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…☆21Updated 10 months ago
- ☆39Updated last year
- PyTorch code for the NAR4TSP.☆20Updated 5 months ago
- ☆24Updated 3 years ago
- Official implementation of paper "Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning"☆43Updated 2 years ago
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆49Updated last year
- DRL for Dynamic Vehicle Routing Problem with stochastic customer requests☆21Updated last year
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆98Updated last year
- Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization☆59Updated 2 years ago
- ☆47Updated 2 years ago
- multi-task learning for routing problem☆18Updated 5 months ago
- Self-Labeling the Job Shop Scheduling Problem☆12Updated 9 months ago
- A Reinforcement Learning Approach for Optimizing Multiple Traveling Salesman Problems over Graphs☆34Updated 4 years ago
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆44Updated 8 months ago
- This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…☆97Updated 10 months ago
- PARCO: Parallel AutoRegressive Combinatorial Optimization☆20Updated 6 months ago
- Official implementation of paper "Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Sc…☆17Updated 8 months ago
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆25Updated 3 weeks ago
- ☆22Updated last year
- [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆65Updated last week