基于在线强化学习的非平稳需求智能电子配送库存控制

IF 4.4 4区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Enterprise Information Systems Pub Date : 2023-11-26 DOI:10.1080/17517575.2023.2284427

Daniel Y. Mo, Y.P. Tsang, Y. Wang, Weikun Xu

引用次数: 0

摘要

本文提出了一种基于在线强化学习的方法和一种基于先验知识的强化学习方法来提高库存管理系统的决策智能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Online reinforcement learning-based inventory control for intelligent E-Fulfilment dealing with nonstationary demand

In this study, an online reinforcement learning-based approach and a reinforcement learning with prior knowledge approach are proposed to enhance decision intelligence in inventory management syste...

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来源期刊

Enterprise Information Systems 工程技术-计算机：信息系统

CiteScore

11.00

自引率

6.80%

发文量

审稿时长

6 months

期刊介绍： Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.