activity
20182026
collaborators

5 papers

math.OC2026

On the Bellman equation in recursive stochastic dynamic programming with the CES aggregator

Anna Jaśkiewicz, Andrzej S. Nowak

In this paper we investigate discrete-time infinite horizon Markov decision processes (dynamic programming models) with recursive utilities defined by the classical \emph{CES} aggr…

math.OC2022

On approximate and weak correlated equilibria in constrained discounted stochastic games

Anna Jaśkiewicz, Andrzej S. Nowak

In this paper, we consider constrained discounted stochastic games with a countably generated state space and norm continuous transition probability having a density function. We p…

math.OC2021

Constrained discounted stochastic games

Anna Jaśkiewicz, Andrzej S. Nowak

In this paper, we consider a large class of constrained non-cooperative stochastic Markov games with countable state spaces and discounted cost criteria. In one-player case, i.e.,…

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…