WXY1427 / Learn-LNS-policyLinks
☆34Updated 3 years ago
Alternatives and similar repositories for Learn-LNS-policy
Users that are interested in Learn-LNS-policy are comparing it to the libraries listed below
Sorting:
- Predict and search framework for MilP☆59Updated 2 years ago
- ☆49Updated 3 years ago
- Efficient Active Search☆52Updated 3 years ago
- Neural Combinatorial Optimization☆70Updated 2 weeks ago
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆43Updated last year
- ☆23Updated last year
- [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization☆171Updated last year
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆114Updated 2 years ago
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆69Updated 4 years ago
- ☆41Updated last year
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆50Updated 4 years ago
- ☆27Updated 4 years ago
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆56Updated last year
- The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…☆165Updated 4 years ago
- ☆43Updated 5 months ago
- ☆132Updated 2 years ago
- DPDP☆101Updated 2 years ago
- This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short…☆60Updated 2 years ago
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆94Updated 8 months ago
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆52Updated 2 years ago
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆64Updated 2 years ago
- [TMLR 2025 + ICML 2024 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆91Updated 3 weeks ago
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆53Updated 4 months ago
- L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China☆85Updated 4 months ago
- ☆108Updated 5 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆101Updated 2 years ago
- This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…☆114Updated last year
- [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing☆85Updated 3 years ago
- codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"☆71Updated 3 years ago
- Neur2SP: Neural Two-Stage Stochastic Programming☆50Updated 2 years ago