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Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes

We study Markov decision processes (MDPs) with multiple limit-average (or mean-payoff) functions. We consider two different objectives, namely, expectation and satisfaction objectives. Given an MDP with k reward functions, in the

IN - Informatika

  • 2011
  • D
  • Link
Result

Conditional Value-at-Risk for Reachability and Mean Payoff in Markov Decision Processes

We present the conditional value-at-risk (CVaR) in the context of Markov chains and Markov decision processes with reachability and mean-payoff objectives. CVaR quantifies risk by means of the expectation of the wo...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • D
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Result

Markov Decision Processes with Multiple Long-Run Average Objectives

objective the goal is to maximize the expected limit-average value-average value stays above a given vector. We show that under the expectation objectiveWe study Markov decision processes (MDPs) with multiple limi...

IN - Informatika

  • 2014
  • Jx
  • Link
Result

A note on effect of errors in input parameters on mean-variance efficient portfolios

of perturbed values of expectations, variances and covariances of yields for the wholeMean-variance efficient portfolios are in?uenced by errors due to approximation - expected yields and elements of their covaria...

BB - Aplikovaná statistika, operační výzkum

  • 2015
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Result

Emission management of a steel company: Fuzzy expected value approach

and stochastic versions of the model were presented, in this paper, the fuzzy expected value (i.e. possibilistic mean value) approach is used. Due to the difficult......

Applied Economics, Econometrics

  • 2015
  • D
Result

Risk-Sensitive and Mean Variance Optimality in Markov Decision Processes

can easily obtain necessary and sufficient mean reward optimality conditions and thevariability can be evaluated by the mean variance of total expected rewards. For the risk with mean value of the corresp...

BB - Aplikovaná statistika, operační výzkum

  • 2013
  • Jx
Result

Mean variance optimality in Markov decision chains

In this note, we consider discrete-time Markov decision processes with finite state space. Recalling explicit formulas for the growth rate of expected value and variance of the cumulative (random) reward, algorithmic procedures for ...

BB - Aplikovaná statistika, operační výzkum

  • 2005
  • D
Result

Optimizing the Expected Mean Payoff in Energy Markov Decision Processes

that keeps the counter non-negative) which maximizes the expected mean payoff. is the current counter value. The configurations are changed by performing transitions......

IN - Informatika

  • 2016
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Result

Unifying Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes

(or mean-payoff) objectives. There exist two different views: (i)~the expectation semantics, where the goal is to optimize the expected mean-payoff objective, and (ii such that the mean-payoff value

IN - Informatika

  • 2015
  • D
Result

ADVENTURE THERAPY AS A MEANS OF WORKING WITH THE VALUES OF CLIENTS IN THERAPEUTIC COMMUNITIES

of possible ways of work with clients´ values in therapeutic communities for addicted-structured interview with thirteen workers. The interviews were analyzed by means of MCA. The results of the analyses show the workers expect...

Education

  • 2018
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  • Link
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