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English(EN) AlphaInventory: Evolving White-Box Inventory Policies via Large Language Models with Deployment Guarantees

AlphaInventory 使用 LLM 演进库存策略并提供部署保证

研究人员开发了 AlphaInventory,一个使用大型语言模型为动态环境创建库存策略的新框架。该系统整合了需求数据和其他特征,以生成具有统计安全保证的策略。在合成和真实零售数据上进行测试时,AlphaInventory 的表现优于传统方法和其他深度学习方法。 AI

影响 引入了一种新颖的基于 LLM 的方法来演进具有安全保证的库存策略,有可能提高供应链效率。

排序理由 介绍新颖框架和方法的学术论文。

在 arXiv cs.AI 阅读 →

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AlphaInventory 使用 LLM 演进库存策略并提供部署保证

报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Chenyu Huang, Jianghao Lin, Zhengyang Tang, Bo Jiang, Ruoqing Jiang, Benyou Wang, Lai Wei ·

    AlphaInventory: Evolving White-Box Inventory Policies via Large Language Models with Deployment Guarantees

    arXiv:2605.00369v1 Announce Type: new Abstract: We study how large language models can be used to evolve inventory policies in online, non-stationary environments. Our work is motivated by recent advances in LLM-based evolutionary search, such as AlphaEvolve, which demonstrates s…

  2. arXiv cs.AI TIER_1 English(EN) · Lai Wei ·

    AlphaInventory: Evolving White-Box Inventory Policies via Large Language Models with Deployment Guarantees

    We study how large language models can be used to evolve inventory policies in online, non-stationary environments. Our work is motivated by recent advances in LLM-based evolutionary search, such as AlphaEvolve, which demonstrates strong performance for static and highly structur…