Curriculum Learning with GNN-based Reinforcement Learning for Job Shop Scheduling
Curriculum learning for graph neural network-based reinforcement learning in the job shop scheduling problem is compared with single-size training across three target sizes, showing that curriculum learning consistently reduces wall-clock training time, with larger benefits as the target size increases.
J. K. Vasudevan, Jonathan Hoss, Noah Klarmann
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