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Some Remarks on Risk-Sensitive Optimality Criteria in Markov Decision Processes

In this note we focus attention on discrete-time Markov decision processes with risk-sensitive optimality criteria (i.e. the case when the stream of rewards generated by the Markov processes

BB - Aplikovaná statistika, operační výzkum

  • 2006
  • D
Result

Risk-Sensitive and Risk-Neutral Optimality in Markov Decision Chains; a Unified Approach

In this note we consider Markov decision chains with finite state space and compact actions spaces where the stream of rewards generated by the Markov processes is evaluated by an exponential utility function (so-c...

BB - Aplikovaná statistika, operační výzkum

  • 2012
  • D
Result

Risk-Sensitive and Mean Variance Optimality in Markov Decision Processes

processes is evaluated by an exponential utility function with a given risk sensitivity coefficient (so-called risk-sensitive models). If the risk sensitivity coefficient equals zero (

BB - Aplikovaná statistika, operační výzkum

  • 2013
  • Jx
Result

Risk-sensitive Average Optimality in Markov Decision Processes

-sensitive optimality criteria in Markov decision chains. To this end we assume that the total reward generated by the Markov process is evaluated by an exponential utility function with a given risk

Statistics and probability

  • 2018
  • Jimp
  • Link
Result

Risk-sensitive and Mean Variance Optimality in Continuous-time Markov Decision Chains

processes is evaluated by an exponential utility function with a given risk sensitivitycoefficient (so-called risk-sensitive models). If the risk sensitivity coefficient equals zero (risk

Economic Theory

  • 2018
  • D
Result

Risk-Sensitive Optimality Criteria in Markov Decision Processes

The usual optimization criteria for Markov decision processes can be quite unsufficient to fully capture the various aspects of a decision maker. It may be preferable to select more sophisticated criteria that also...

BB - Aplikovaná statistika, operační výzkum

  • 2007
  • D
Result

Risk-Sensitive and Average Optimality in Markov Decision Processes

This contribution is devoted to the risk-sensitive optimality criteria in finite state Markov Decision Processes. At first, we rederive necessary. This approachis then extended to the risk-sen...

BB - Aplikovaná statistika, operační výzkum

  • 2012
  • D
Result

Risk-Sensitive Average Optimality in Markov Decision Chains

We focus attention on of the asymptotic behavior of the expected utility and the corresponding certainty equivalents in discrete-time Markov decision chains with finite state and action spaces and the risk-sensitive

AH - Ekonomie

  • 2008
  • D
Result

Central Moments and Risk-Sensitive Optimality in Continuous-Time Markov Reward Processes

In this note we consider continuous-time Markov decision processes with finite state space where the stream of rewards generated by the Markov processes is evaluated by an exponential utility function with...

Statistics and probability

  • 2020
  • O
Result

Central Moments and Risk-Sensitive Optimality in Markov Reward Processes

In this note we consider discrete- and continuous-time Markov decision examined in the literature on optimization of Markov reward processes, e.g. total we focus on models where the stream of rewards generated by t...

Statistics and probability

  • 2021
  • D
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