InvEvolve evolves inventory policies using LLMs with RL and provides statistical safety guarantees, outperforming classical and DL methods on synthetic and real 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.
citing papers explorer
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InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees
InvEvolve evolves inventory policies using LLMs with RL and provides statistical safety guarantees, outperforming classical and DL methods on synthetic and real 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.