Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"

A curated list of Diffusion Model in RL resources (continually updated)

Efficient Active Search

This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization

NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms

The repository is for safe reinforcement learning baselines.

Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

A highly-flexible and high-performance meta-heuristic for the vehicle routing problems (VRP)

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

Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}

code for paper: 'Rewriting by Generating: Learn Heuristics for Large-scale Vehicle Routing Problems'

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

multi-agent deep reinforcement learning for networked system control.

multi-agent deep reinforcement learning for large-scale traffic signal control.

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

A PyTorch implementation of DeepFM for CTR prediction problem.

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

A python implementation of a ant colony optimization based solution to Vehicle Routing Problem with Time Windows.

A Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows

Attention based model for learning to solve different routing problems

Reinforcement Learning for Solving the Vehicle Routing Problem

Must-read papers on graph neural networks (GNN)

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).