Myopic Solutions of Homogeneous Sequential Decision Processes

• 成果类型: Article
• 署名作者: Sobel, Matthew J.; Wei, Wei
• 署名单位: University System of Ohio; Case Western Reserve University
• 刊物名称: OPERATIONS RESEARCH
• ISSN/ISSBN: 0030-364X
• DOI: 10.1287/opre.1090.0767
• 发表日期: 2010
• 页码: 1235-1246
• 关键词: revenue management; optimality; games

摘要

An optimum of a Markov decision process (MDP) is myopic if it can be obtained by solving a series of static problems. Myopic optima are desirable because they can be computed relatively easily. We identify new classes of MDPs with myopic optima and sequential games with myopic equilibrium points. In one of the classes, the single-period reward is homogeneous with respect to the state variable. We illustrate the results with models of revenue management and investment.