LEARNING-TO-SEARCH APPROACHES FOR VEHICLE ROUTING PROBLEMS USING DEEP REINFORCEMENT LEARNING
Ph.D
Saved in:
Main Author: | MA YINING |
---|---|
Other Authors: | INDUSTRIAL SYSTEMS ENGINEERING & MGT |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/247640 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
DEEP REINFORCEMENT LEARNING FOR SOLVING VEHICLE ROUTING PROBLEMS
by: LI JINGWEN
Published: (2022) -
Collaborative deep reinforcement learning for solving multi-objective vehicle routing problems
by: WU, Yaoxin, et al.
Published: (2024) -
Deep reinforcement learning for solving the heterogeneous capacitated vehicle routing problem
by: LI, Jingwen, et al.
Published: (2021) -
Deep reinforcement learning for solving vehicle routing problems with backhauls
by: WANG, Conghui, et al.
Published: (2024) -
Deep reinforcement learning for UAV routing in the presence of multiple charging stations
by: FAN, Mingfeng, et al.
Published: (2023)