Least squares approximate policy iteration for learning bid prices in choice-based revenue management
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- 作者：Sebastian Koch sebastian.koch@wiwi.uni-augsburg.de" class="auth_mail" title="E-mail the corresponding author
- 关键词：Revenue management ; Capacity control ; Approximate dynamic programming ; Approximate policy iteration
- 刊名：Computers and Operations Research
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：77
- 期：Complete
- 页码：240-253
- 全文大小：1025 K
文摘
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This paper considers capacity control under customer choice behavior.
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The problem is solved by least squares approximate policy iteration.
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Constraints on value function approximations are proposed to facilitate learning.
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Numerical results demonstrate the superior performance to existing methods.