Continuous-time Markov decision processes with nth-bias optimality criteria

  • Authors:
  • Junyu Zhang;Xi-Ren Cao

  • Affiliations:
  • School of Mathematics and Computational Science, Sun Yat-sen University, Guangzhou, 510275, PR China;Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2009

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Abstract

In this paper, we study the nth-bias optimality problem for finite continuous-time Markov decision processes (MDPs) with a multichain structure. We first provide nth-bias difference formulas for two policies and present some interesting characterizations of an nth-bias optimal policy by using these difference formulas. Then, we prove the existence of an nth-bias optimal policy by using nth-bias optimal policy iteration algorithms, and show that such an nth-bias optimal policy can be obtained in a finite number of policy iterations.