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Performance Potential Based Optimization and MDPs

In: Stochastic Modeling and Optimization

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  • Xi-Ren Cao

Abstract

This chapter presents some recent results in the area of optimization and Markov decision processes (MDPs). The work starts with performance sensitivity analysis of Markov processes. It is a continuation of the research in the past two decades on the optimization of discrete event dynamic systems, especially the theory of perturbation analysis (PA). We approach the MDP problem from a sensitivity point of view. This new perspective leads to some new insights and offers a clear and concise explanation for the basic concepts and results in MDPs.

Suggested Citation

  • Xi-Ren Cao, 2003. "Performance Potential Based Optimization and MDPs," Springer Books, in: Stochastic Modeling and Optimization, chapter 4, pages 111-135, Springer.
    • Handle: RePEc:spr:sprchp:978-0-387-21757-4_4
    DOI: 10.1007/978-0-387-21757-4_4
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