OptMLGroup / VRP-RLLinks
Reinforcement Learning for Solving the Vehicle Routing Problem
☆662Updated 4 years ago
Alternatives and similar repositories for VRP-RL
Users that are interested in VRP-RL are comparing it to the libraries listed below
Sorting:
- Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arX…☆485Updated 5 years ago
- PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940☆579Updated 7 years ago
- Attention based model for learning to solve different routing problems☆1,223Updated 10 months ago
- "Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver☆190Updated 4 years ago
- "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver☆177Updated 3 years ago
- Dynamic Attention Model for Vehicle Routing Problem (arXiv:2002.03282)☆125Updated last year
- This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"☆146Updated 2 years ago
- ☆107Updated 5 years ago
- Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper☆163Updated 4 years ago
- This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'☆236Updated last year
- Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learni…☆93Updated 4 years ago
- Reinforcement Learning for Solving the Vehicle Routing Problem☆69Updated 3 years ago
- pytorch neural combinatorial optimization☆384Updated 7 years ago
- codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"☆193Updated 2 years ago
- Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Sessi…☆321Updated 3 years ago
- Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"☆334Updated 2 years ago
- Dynamic Attention Encoder-Decoder model to learn and design heuristics to solve capacitated vehicle routing problems☆44Updated 4 years ago
- ☆163Updated 5 years ago
- Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem☆91Updated 4 years ago
- ☆132Updated 2 years ago
- A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)☆592Updated last week
- PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplor…☆58Updated 5 years ago
- Adaptive large neighbourhood search (and more!) in Python.☆521Updated 3 months ago
- Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm☆103Updated 6 years ago
- Environments for OR and RL Research☆406Updated last year
- An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…☆94Updated 2 years ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆107Updated 2 years ago
- Reinforcement learning approach for job shop scheduling☆270Updated last year
- My implementation of solving the Capacitated Vehicle Routing Problem in the paper "Attention, learn to solve routing problems"☆44Updated 5 years ago
- An OpenAi Gym environment for the Job Shop Scheduling problem.☆210Updated 2 weeks ago