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

331 citations · 356 across the 3 of their papers we have counts for

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cs.AI2021★ 331 cited

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

Junyoung Park, Jaehyeong Chun, Sang Hun Kim +2

We propose a framework to learn to schedule a job-shop problem (JSSP) using a graph neural network (GNN) and reinforcement learning (RL). We formulate the scheduling process of JSS…