RLSCG uses reinforcement learning to adaptively select stabilization parameters in column generation, substantially reducing iterations and runtime on cutting stock problems compared to fixed rules and other learning baselines.
Adaptive stabilization based on machine learning for column generation
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Learning to Control Stabilization in Column Generation
RLSCG uses reinforcement learning to adaptively select stabilization parameters in column generation, substantially reducing iterations and runtime on cutting stock problems compared to fixed rules and other learning baselines.