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On mean reward variance in semi-Markov processes
Authors:Karel Sladký
Institution:(1) Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Pod Vodárenskou věží 4, 182 08 Praha 8, Czech Republic
Abstract:As an extension of the discrete-time case, this note investigates the variance of the total cumulative reward for the embedded Markov chain of semi-Markov processes. Under the assumption that the chain is aperiodic and contains a single class of recurrent states recursive formulae for the variance are obtained which show that the variance growth rate is asymptotically linear in time. Expressions are provided to compute this growth rate.
Keywords:Markov and semi-Markov processes with rewards  Variance of cumulative reward  Asymptotic behaviour
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