wouterkool / attention-learn-to-route

IlikeCLR

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

Reinforcement learning for operation research problems with OpenAI Gym and CleanRL

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone

#Awesome#Recent research papers about Foundation Models for Combinatorial Optimization

#计算机科学#[NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing

[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time

The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver

A webapp that visualizes and annotates your ortools' CP-SAT logs. Partially inspired by gurobi-logtools.

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

#大语言模型#🙌 OpenHands: Code Less, Make More

The MiniZinc compiler

L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China

Zotero PDF Translate 是用于文献管理软件Zotero的翻译插件。主要功能有划词翻译、源文本/翻译切换、批注翻译、支持多种翻译引擎

#计算机科学#Fit interpretable models. Explain blackbox machine learning.

This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization