A Predict-then-Correct Loop Based on Few-Shot Continuous Contextual Bandit for Demand Forecasting

arXiv:2607. 16354v1 Announce Type: cross Abstract: Retail demand forecasting remains difficult when demand shifts faster than static forecasting models can be retrained, especially in early demand cycles where newly observed labels are sparse.

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• reinforcement-learning
• benchmarks