Lei-Kun / DRL-and-graph-neural-network-for-routing-problems
This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'
☆205Updated last year
Alternatives and similar repositories for DRL-and-graph-neural-network-for-routing-problems:
Users that are interested in DRL-and-graph-neural-network-for-routing-problems are comparing it to the libraries listed below
- Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper☆145Updated 4 years ago
- This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"☆136Updated 2 years ago
- This is the implemention of JSSP with RL. The framework used for RL is actor critic and the dataset comes from Tianchi competition.☆92Updated 3 years ago
- This is the official code for the baseline methods of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexib…☆83Updated last year
- This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Pr…☆274Updated last year
- "Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver☆180Updated 4 years ago
- The code and data will be published after accepting our paper☆80Updated 2 years ago
- pytorch implementation of DQN/DDQN/Dueling_networ/D3QN for job shop scheudling problem☆63Updated 3 years ago
- Reinforcement Learning for Solving the Vehicle Routing Problem☆65Updated 3 years ago
- ☆43Updated 2 years ago
- ☆220Updated last year
- "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver☆168Updated 3 years ago
- DRL on JSSPs☆102Updated 5 years ago
- Master's Thesis - Graph Neural Networks for Compact Representation for Job Shop Scheduling Problems: A Comparative Benchmark☆43Updated 3 years ago
- 实现论文《Pointer Networks》中使用神经网络对TSP求解。https://arxiv.org/abs/1506.03134☆25Updated 4 years ago
- this repository is used to reappear thesis《Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learnin…☆66Updated 3 years ago
- Official implementation of paper "Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning"☆38Updated 2 years ago
- COR paper: A Deep Multi-Agent Reinforcement Learning Approach to Solve Dynamic Job Shop Scheduling Problem☆51Updated 7 months ago
- Official Schlably Repository by the Institute for TMDT☆75Updated last year
- 指针网络+强化学习 解决旅行商(TSP)问题☆80Updated 3 years ago
- Codes implementation of the paper "Deep reinforcement learning for minimizing tardiness in parallel machine scheduling with sequence depe…☆21Updated last year
- Deep Reinforcement Learning Based on Graph Neural Networks for Job-shop Scheduling☆26Updated last year
- TF2 implementation of "Attention, Learn to Solve Routing Problems!" (arXiv:1803.08475) article.☆38Updated 4 years ago
- This repository is the official implementation of the paper “Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement …☆101Updated last year
- This repository contains the code of the deep MARL-based dynamic scheduling algorithms in job shop and flexible job shop☆51Updated last year
- PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplor…☆56Updated 5 years ago
- The repository contains 15 benchmarks for dynamic job shop scheduling problem.☆11Updated 4 years ago
- the mixed-integer programming model for flexible job shop scheduling problem is solved by gurobi☆46Updated last year
- An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…☆89Updated 2 years ago
- Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"☆305Updated 2 years ago