About: The Variance of Discounted Rewards in Markov Decision Processes: Laurent Expansion and Sensitive Optimality     Goto   Sponge   NotDistinct   Permalink

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  • In this paper we consider discounted Markov decision processes with finite state space and compact actions spaces. We present formulas for the variance of total expected discounted rewards along with its partial Laurent expansion. This enables to compare the obtained results with similar results for undiscounted models.
  • In this paper we consider discounted Markov decision processes with finite state space and compact actions spaces. We present formulas for the variance of total expected discounted rewards along with its partial Laurent expansion. This enables to compare the obtained results with similar results for undiscounted models. (en)
Title
  • The Variance of Discounted Rewards in Markov Decision Processes: Laurent Expansion and Sensitive Optimality
  • The Variance of Discounted Rewards in Markov Decision Processes: Laurent Expansion and Sensitive Optimality (en)
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  • The Variance of Discounted Rewards in Markov Decision Processes: Laurent Expansion and Sensitive Optimality
  • The Variance of Discounted Rewards in Markov Decision Processes: Laurent Expansion and Sensitive Optimality (en)
skos:notation
  • RIV/67985556:_____/14:00432654!RIV15-GA0-67985556
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  • I, P(GA13-14445S)
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  • RIV/67985556:_____/14:00432654
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  • discrete-time Markov decision chains; variance of total discounted rewards; Laurent expansion; mean-variance optimality (en)
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  • [FED56B96FAC5]
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  • Olomouc
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  • Olomouc
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  • 32nd International Conference Mathematical Methods in Economics MME 2014
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  • Sladký, Karel
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  • Univerzita Palackého v Olomouci
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  • 978-80-244-4209-9
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