google-deepmind / neural_lns
☆46Updated 3 years ago
Alternatives and similar repositories for neural_lns:
Users that are interested in neural_lns are comparing it to the libraries listed below
- ☆26Updated 3 years ago
- ☆31Updated 2 years ago
- Predict and search framework for MilP☆53Updated 2 years ago
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆67Updated 3 years ago
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆37Updated 8 months ago
- ☆18Updated 7 months ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆50Updated 3 years ago
- Efficient Active Search☆49Updated 3 years ago
- DPDP☆100Updated 2 years ago
- Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'☆38Updated 5 years ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆99Updated 2 years ago
- ☆39Updated last year
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆50Updated last year
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆48Updated last year
- ☆46Updated 11 months ago
- [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆67Updated last month
- Combining Reinforcement Learning with Integer Programming for Robust Scheduling☆26Updated last year
- ☆23Updated last year
- [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing☆81Updated 3 years ago
- Adaptive Cut Selection in Mixed-Integer Linear Programming☆13Updated last year
- Neur2SP: Neural Two-Stage Stochastic Programming☆47Updated 2 years ago
- Reinforcement Learning for Cut Selection☆11Updated 2 years ago
- Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)☆21Updated 2 years ago
- ☆11Updated 11 months ago
- ☆132Updated 2 years ago
- Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization☆61Updated 3 years ago
- This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …☆39Updated last month
- Machine-learning-based column selection☆36Updated 3 years ago
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆53Updated 11 months ago
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago