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Two-Stage Learning For the Flexible Job Shop Scheduling Problem

Two-Stage Learning For the Flexible Job Shop Scheduling Problem

23 January 2023
Wenbo Chen
Reem Khir
Pascal Van Hentenryck
ArXivPDFHTML

Papers citing "Two-Stage Learning For the Flexible Job Shop Scheduling Problem"

4 / 4 papers shown
Title
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep
  Learning Method
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method
James Kotary
Ferdinando Fioretto
Pascal Van Hentenryck
43
20
0
12 Oct 2021
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement
  Learning
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
Predicting AC Optimal Power Flows: Combining Deep Learning and
  Lagrangian Dual Methods
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto
Terrence W.K. Mak
Pascal Van Hentenryck
AI4CE
81
199
0
19 Sep 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1