ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.12088
  4. Cited By
Fast Approximate Solutions using Reinforcement Learning for Dynamic
  Capacitated Vehicle Routing with Time Windows

Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows

24 February 2021
Nazneen N. Sultana
Vinita Baniwal
Ansuma Basumatary
P. Mittal
Supratim Ghosh
H. Khadilkar
ArXivPDFHTML

Papers citing "Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows"

5 / 5 papers shown
Title
Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in
  E-Commerce
Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce
Omkar Shelke
Pranavi Pathakota
Anandsingh Chauhan
H. Khadilkar
Hardik Meisheri
Balaraman Ravindran
14
0
0
20 Nov 2023
A deep learning Attention model to solve the Vehicle Routing Problem and
  the Pick-up and Delivery Problem with Time Windows
A deep learning Attention model to solve the Vehicle Routing Problem and the Pick-up and Delivery Problem with Time Windows
Baptiste Rabecq
R. Chevrier
AI4TS
8
2
0
20 Dec 2022
Solving the capacitated vehicle routing problem with timing windows
  using rollouts and MAX-SAT
Solving the capacitated vehicle routing problem with timing windows using rollouts and MAX-SAT
H. Khadilkar
6
3
0
14 Jun 2022
A Reinforcement Learning Approach for Electric Vehicle Routing Problem
  with Vehicle-to-Grid Supply
A Reinforcement Learning Approach for Electric Vehicle Routing Problem with Vehicle-to-Grid Supply
A. Narayanan
P. Misra
Ankush Ojha
Vivek Bandhu
Supratim Ghosh
Arunchandar Vasan
11
6
0
12 Apr 2022
Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order
  Fulfilment in Electronic Commerce
Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce
Pranavi Pathakota
Kunwar Zaid
Anulekha Dhara
Hardik Meisheri
Shaun C. D'Souza
Dheeraj Shah
H. Khadilkar
16
4
0
16 Dec 2021
1