OptMLGroup / VRP-RL
Reinforcement Learning for Solving the Vehicle Routing Problem
☆625Updated 3 years ago
Alternatives and similar repositories for VRP-RL:
Users that are interested in VRP-RL are comparing it to the libraries listed below
- Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arX…☆465Updated 4 years ago
- Attention based model for learning to solve different routing problems☆1,141Updated 5 months ago
- "Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver☆180Updated 4 years ago
- Dynamic Attention Model for Vehicle Routing Problem (arXiv:2002.03282)☆119Updated last year
- PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940☆570Updated 6 years ago
- "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver☆168Updated 3 years ago
- Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem☆84Updated 4 years ago
- Reinforcement Learning for Solving the Vehicle Routing Problem☆65Updated 3 years ago
- This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"☆136Updated 2 years ago
- ☆104Updated 4 years ago
- This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'☆209Updated last year
- pytorch neural combinatorial optimization☆378Updated 7 years ago
- Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper☆148Updated 4 years ago
- Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"☆307Updated 2 years ago
- Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learni…☆89Updated 3 years ago
- PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplor…☆57Updated 5 years ago
- Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Opti…☆43Updated 7 years ago
- A python framework for solving the VRP and its variants with column generation.☆186Updated last year
- A Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows☆578Updated 11 months ago
- codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"☆170Updated 2 years ago
- Adaptive large neighbourhood search (and more!) in Python.☆470Updated 3 months ago
- Dynamic Attention Encoder-Decoder model to learn and design heuristics to solve capacitated vehicle routing problems☆44Updated 4 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆215Updated 3 years ago
- ☆124Updated 2 years ago
- TF2 implementation of "Attention, Learn to Solve Routing Problems!" (arXiv:1803.08475) article.☆38Updated 4 years ago
- An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…☆90Updated 2 years ago
- dungtran209 / Modelling-and-Analysis-of-a-Vehicle-Routing-Problem-with-Time-Windows-in-Freight-DeliveryA MSc's Dissertation Project which focuses on Vehicle Routing Problem with Time Windows (VRPTW), using both exact method and heuristic ap…☆137Updated 5 years ago
- A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)☆491Updated this week
- Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Sessi…☆312Updated 2 years ago
- Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This co…☆354Updated last year