Learning to schedule job-shop problems: Representation and policy
learning using graph neural network and reinforcement learning

Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning

2 June 2021

Junyoung Park

Jinkyoo Park

Papers citing "Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning"

5 / 5 papers shown

Title
Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem Lotfi Kobrosly Marc-Emmanuel Coupvent des Graviers Christophe Guettier Tristan Cazenave 33 0 0 13 May 2025
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab H. Najjaran 35 11 0 04 Oct 2023
Policy-Based Self-Competition for Planning Problems Jonathan Pirnay Q. Göttl Jakob Burger D. G. Grimm 34 3 0 07 Jun 2023
Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning Runqing Wang G. Wang Jian-jun Sun Fang Deng Jie Chen 16 32 0 09 May 2023
Graph Learning for Cognitive Digital Twins in Manufacturing Systems Trier Mortlock Deepan Muthirayan S. Yu Pramod P. Khargonekar Mohammad Abdullah Al Faruque AI4CE 24 44 0 17 Sep 2021