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Towards Standardising Reinforcement Learning Approaches for Production
  Scheduling Problems
v1v2 (latest)

Towards Standardising Reinforcement Learning Approaches for Production Scheduling Problems

Procedia CIRP (PC), 2021
16 April 2021
Alexandru Rinciog
Anne Meyer
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Towards Standardising Reinforcement Learning Approaches for Production Scheduling Problems"

2 / 2 papers shown
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
247
1
0
18 Sep 2024
Reinforcement Learning Approach for Multi-Agent Flexible Scheduling
  Problems
Reinforcement Learning Approach for Multi-Agent Flexible Scheduling Problems
Hongjian Zhou
Boyang Gu
Chenghao Jin
AI4CE
157
1
0
07 Oct 2022
1
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