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Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent
  Reinforcement Learning Approach

Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach

13 February 2020
Kecheng Zhang
Meng Li
Zhengchao Zhang
Xi Lin
Fang He
ArXivPDFHTML

Papers citing "Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach"

11 / 11 papers shown
Title
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language
  Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
Mohammed Elhenawy
Ahmad Abutahoun
Taqwa I. Alhadidi
Ahmed Jaber
Huthaifa I. Ashqar
Shadi Jaradat
Ahmed Abdelhay
Sébastien Glaser
A. Rakotonirainy
LLMAG
LRM
29
12
0
26 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
65
4
0
01 Jun 2024
A Bibliometric Analysis and Review on Reinforcement Learning for
  Transportation Applications
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications
Can Li
Lei Bai
L. Yao
S. Waller
Wei Liu
27
14
0
26 Oct 2022
Learning to Solve Soft-Constrained Vehicle Routing Problems with
  Lagrangian Relaxation
Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation
Qiaoyue Tang
Yangzhe Kong
Lemeng Pan
Choon-woo Lee
22
3
0
20 Jul 2022
Learning to Solve Vehicle Routing Problems: A Survey
Learning to Solve Vehicle Routing Problems: A Survey
Aigerim Bogyrbayeva
Meraryslan Meraliyev
Taukekhan Mustakhov
Bissenbay Dauletbayev
27
24
0
05 May 2022
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation
Junying Chen
Dongfang Li
Qingcai Chen
Wenxiu Zhou
Xin Liu
MedIm
25
30
0
20 Dec 2021
Multi-Agent Path Planning Using Deep Reinforcement Learning
Multi-Agent Path Planning Using Deep Reinforcement Learning
M. Çetinkaya
22
2
0
04 Oct 2021
An Overview and Experimental Study of Learning-based Optimization
  Algorithms for Vehicle Routing Problem
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem
Bingjie Li
Guohua Wu
Yongming He
Mingfeng Fan
Witold Pedrycz
64
67
0
15 Jul 2021
Solve routing problems with a residual edge-graph attention neural
  network
Solve routing problems with a residual edge-graph attention neural network
Kun Lei
Peng Guo
Yi Wang
Xiao Wu
Wenchao Zhao
17
54
0
06 May 2021
Reinforcement Learning for Ridesharing: An Extended Survey
Reinforcement Learning for Ridesharing: An Extended Survey
Zhiwei Qin
Hongtu Zhu
Jieping Ye
34
83
0
03 May 2021
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
40
408
0
11 Aug 2019
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