Thinklab-SJTU / awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
☆1,850Updated last month
Alternatives and similar repositories for awesome-ml4co:
Users that are interested in awesome-ml4co are comparing it to the libraries listed below
- A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)☆557Updated 2 weeks ago
- Attention based model for learning to solve different routing problems☆1,201Updated 8 months ago
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)☆374Updated 3 years ago
- PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940☆577Updated 6 years ago
- ☆406Updated last year
- Recent research papers about Foundation Models for Combinatorial Optimization☆276Updated last week
- The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…☆162Updated 4 years ago
- Extensible Combinatorial Optimization Learning Environments☆339Updated 2 years ago
- Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"☆502Updated 5 years ago
- Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arX…☆480Updated 4 years ago
- Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Sessi…☆319Updated 3 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆226Updated 3 years ago
- Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms☆276Updated last year
- Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"☆325Updated 2 years ago
- A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming☆525Updated 3 weeks ago
- "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver☆175Updated 3 years ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆195Updated 7 months ago
- This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'☆228Updated last year
- ☆247Updated 2 years ago
- codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"☆186Updated 2 years ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆133Updated 2 years ago
- Reinforcement Learning for Solving the Vehicle Routing Problem☆646Updated 3 years ago
- A Python Graph Matching Toolkit.☆330Updated 6 months ago
- This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Pr…☆299Updated 2 years ago
- A Collection on Large Language Models for Optimization☆226Updated 5 months ago
- 运小筹公众号是致力于分享运筹优化(LP、MIP、NLP、随机规划、鲁棒优化)、凸优化、强化学习等研究领域的内容以及涉及到的算法的代码实现。☆230Updated 2 years ago
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆154Updated 7 months ago
- Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization☆190Updated 4 years ago
- [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution☆173Updated last week
- ☆704Updated 2 years ago