文献类型：会议论文

英文题名：Dynamic Pricing Decision for Perishable Goods: A Q-learning Approach

作者：Cheng, Yan

机构：[1]E China Univ Sci & Technol, Sch Business, Shanghai, Peoples R China

会议论文集：4th International Conference on Wireless Communications, Networking and Mobile Computing

会议日期：OCT 12-17, 2008

会议地点：Dalian, PEOPLES R CHINA

语种：英文

外文关键词：dynamic pricing; partial obserbable Markov decision process; Q-learning

摘要：In this paper, we considered a dynamic pricing problem for selling a given stock of perishable items during a finite sale season. We developed a partially observed Markov decision process model to study this problem. In particularly, belief states were adopted to deal with the uncertainty of demand. A Q-learning approach was designed to solve the problem of obtaining optimal dynamic pricing policy, and this approach was validated by a simulation experiment.