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Curriculum Learning with GNN-based Reinforcement Learning for Job Shop Scheduling
The job shop scheduling problem is a challenging combinatorial optimization problem, and recent reinforcement learning approaches using graph neural networks have shown promise for learning scheduling policies directly from problem instances. However, training on large instances remains computationa
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