activity
20072020
most citedAverage optimality for risk-sensitive control with general state space

83 citations · 83 across the 2 of their papers we have counts for

collaborators

5 papers

math.OC2020

Stochastic dynamic programming with non-linear discounting

Nicole Bäuerle, Anna Jaśkiewicz, Andrzej S. Nowak

In this paper, we study a Markov decision process with a non-linear discount function and with a Borel state space. We define a recursive discounted utility, which resembles non-ad…

math.OC2018

Constrained discounted Markov decision processes with Borel state spaces

Eugene A. Feinberg, Anna Jaśkiewicz, Andrzej S. Nowak

We study discrete-time discounted constrained Markov decision processes (CMDPs) on Borel spaces with unbounded reward functions. In our approach the transition probability function…

math.PR2017

On a generalization of the Dvoretzky-Wald-Wolfowitz theorem with an application to a robust optimization problem

Anna Jaśkiewicz, Andrzej S. Nowak

A generalization of the Dvoretzky-Wald-Wolfowitz theorem to the case of conditional expectations is provided assuming that the -field on the state space has no conditional atoms…

math.PR2016

Optimal Dividend Payout Model with Risk Sensitive Preferences

Nicole Bäuerle, Anna Jaśkiewicz

We consider a discrete-time dividend payout problem with risk sensitive shareholders. It is assumed that they are equipped with a risk aversion coefficient and construct their disc…

q-fin.RM2007★ 83 cited

Average optimality for risk-sensitive control with general state space

Anna Jaśkiewicz

This paper deals with discrete-time Markov control processes on a general state space. A long-run risk-sensitive average cost criterion is used as a performance measure. The one-st…