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Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem
27 September 2023
Kuo-Hao Ho
Jui-Yu Cheng
Ji-Han Wu
Chiang Fan
Yen-Chi Chen
Yuan-Yu Wu
I-Chen Wu
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Papers citing
"Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem"
5 / 5 papers shown
Title
Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
Sirui Li
Wenbin Ouyang
Yining Ma
Cathy Wu
48
0
0
18 Feb 2025
Graph Neural Networks for Job Shop Scheduling Problems: A Survey
Igor G. Smit
Jianan Zhou
Robbert Reijnen
Yaoxin Wu
Jian Chen
Cong Zhang
Z. Bukhsh
Wim P. M. Nuijten
Yingqian Zhang
GNN
AI4CE
36
8
0
20 Jun 2024
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem
Imanol Echeverria
M. Murua
Roberto Santana
34
5
0
14 Mar 2024
Scheduling Distributed Flexible Assembly Lines using Safe Reinforcement Learning with Soft Shielding
Lele Li
Liyong Lin
14
0
0
21 Nov 2023
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang
Wen Song
Zhiguang Cao
Jie Zhang
Puay Siew Tan
Chi Xu
60
299
0
23 Oct 2020
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