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A Reinforcement Learning Approach for Scheduling Problems With Improved
  Generalization Through Order Swapping

A Reinforcement Learning Approach for Scheduling Problems With Improved Generalization Through Order Swapping

27 February 2023
Deepak Vivekanandan
Samuel Wirth
Patrick Karlbauer
Noah Klarmann
ArXivPDFHTML

Papers citing "A Reinforcement Learning Approach for Scheduling Problems With Improved Generalization Through Order Swapping"

4 / 4 papers shown
Title
Optimizing Job Shop Scheduling in the Furniture Industry: A
  Reinforcement Learning Approach Considering Machine Setup, Batch Variability,
  and Intralogistics
Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics
Malte Schneevogt
Karsten Binninger
Noah Klarmann
OffRL
24
0
0
18 Sep 2024
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and
  Deep Reinforcement Learning
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning
Haizhou Du
Zong Yan
Qiao Xiang
Qinqing Zhan
GNN
24
6
0
21 Nov 2021
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning
A. Mohtasib
Gerhard Neumann
Heriberto Cuayáhuitl
18
16
0
06 Aug 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
1