InvEvolve evolves white-box inventory policies from LLMs with statistical safety guarantees and outperforms classical and deep learning methods on synthetic and real retail data.
Management Science , volume =
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OTSS learns contextual decision weights via output-targeted soft segmentation, attaining lower regret than EM mixture regression and other baselines in controlled benchmarks while running much faster.
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InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees
InvEvolve evolves white-box inventory policies from LLMs with statistical safety guarantees and outperforms classical and deep learning methods on synthetic and real retail data.
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OTSS: Output-Targeted Soft Segmentation for Contextual Decision-Weight Learning
OTSS learns contextual decision weights via output-targeted soft segmentation, attaining lower regret than EM mixture regression and other baselines in controlled benchmarks while running much faster.