Dynamic pricing and reinforcement learning

被引：0

作者：

Carvalho, AX ^{[1
]}

Puterman, ML ^{[1
]}

机构：

[1] Univ British Columbia, Dept Stat, Vancouver, BC V6T 1W5, Canada

来源：

PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4 | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We consider the problem of optimizing sales revenues based on a parametric model in which the parameters are unknown. The manager has to set the price at a level in order to maximize current revenues and at the same time learn about the parameter values to increase the future revenues. Both demand and price are assumed to be continuous variables. We study several different strategies for learning and show that a one-step look-ahead rule produces good short term performance.

引用

页码：2916 / 2921

页数：6

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