We consider duality relations between risk-sensitive stochastic control problems and dynamic games. They are derived from two basic duality results, the first involving free energy and relative entropy and resulting from a Legendre-type transformation, the second involving power functions. Our approach allows us to treat, in essentially the same way, continuous- and discrete-time problems, with complete and partial state observation, and leads to a very natural formal justification of the structure of the cost functional of the dual. It also allows us to obtain the solution of a stochastic game problem by solving a risk-sensitive control problem
We study a stochastic game where one player tries to find a strategy such that the state process rea...
Abstract — This paper presents a unified view of stochastic optimal control theory as developed with...
We study a two-player zero-sum stochastic differential game with both players adopt- ing impulse con...
We consider duality relations between risk-sensitive stochastic control problems and dynamic games. ...
In this paper we solve a finite-horizon partially observed risk- sensitive stochastic optimal contro...
The main achievement of this work is the development of a duality theory for optimal control problem...
In this paper, we investigate dynamic programming models with a discrete time and an infinite horizo...
This book offers a systematic introduction to the optimal stochastic control theory via the dynamic ...
In this paper we consider robust and risk sensitive control of discrete time finite state systems on...
In this paper, we present connections between recent developments on the linearly-solvable stochasti...
In this thesis we investigate single and multi-player stochastic dynamic optimization prob-lems. We ...
A two-player, zero-sum, switching game is formulated for general stochastic differential systems and...
AbstractThe existence of value functions for general two-player, zero-sum stochastic differential ga...
In this paper we carry out a formal analysis of an output feedback risk-sensitive stochastic control...
A risk minimization problem is considered in a continuous-time Markovian regime-switching financial ...
We study a stochastic game where one player tries to find a strategy such that the state process rea...
Abstract — This paper presents a unified view of stochastic optimal control theory as developed with...
We study a two-player zero-sum stochastic differential game with both players adopt- ing impulse con...
We consider duality relations between risk-sensitive stochastic control problems and dynamic games. ...
In this paper we solve a finite-horizon partially observed risk- sensitive stochastic optimal contro...
The main achievement of this work is the development of a duality theory for optimal control problem...
In this paper, we investigate dynamic programming models with a discrete time and an infinite horizo...
This book offers a systematic introduction to the optimal stochastic control theory via the dynamic ...
In this paper we consider robust and risk sensitive control of discrete time finite state systems on...
In this paper, we present connections between recent developments on the linearly-solvable stochasti...
In this thesis we investigate single and multi-player stochastic dynamic optimization prob-lems. We ...
A two-player, zero-sum, switching game is formulated for general stochastic differential systems and...
AbstractThe existence of value functions for general two-player, zero-sum stochastic differential ga...
In this paper we carry out a formal analysis of an output feedback risk-sensitive stochastic control...
A risk minimization problem is considered in a continuous-time Markovian regime-switching financial ...
We study a stochastic game where one player tries to find a strategy such that the state process rea...
Abstract — This paper presents a unified view of stochastic optimal control theory as developed with...
We study a two-player zero-sum stochastic differential game with both players adopt- ing impulse con...