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Summary: SENSITIVE DISCOUNT OPTIMALITY VIA NESTED LINEAR PROGRAMS
FOR ERGODIC MARKOV DECISION PROCESSES
K.E. Avrachenkov
CIAM,
School of Mathematics,
University of South Australia,
The Levels, SA 5095, Australia,
emails: K.Avrachenkov@unisa.edu.au
E. Altman
INRIA,
2004 Route des Lucioles,
B. P. 93, 06902,
SophiaAntipolis Cedex, France,
email: Eitan.Altman@sophia.inria.fr
ABSTRACT
In this paper we discuss the sensitive discount opti
mality for Markov decision processes. The ndiscount
optimality is a refined selective criterion, that is a
generalization of the average optimality and the bias
optimality. Our approach is based on the system of
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