This article establishes a dynamic programming argument for a maximin optimization problem where the agent completes a minimization over a set of discount rates. Even though the consideration of a maximin criterion results in a program that is not convex and not stationary over time, it is proved that a careful reference to extended dynamic programming principles and a maxmin functional equation however allows for circumventing these difficulties and recovering an optimal sequence that is time consistent. This in its turn brings about a stationary dynamic programming argument
1. The basic problem and its solution in the deterministic case à 1.1. General deterministic case Dy...
AbstractWe consider stationary discounted deterministic dynamic programs with bounded rewards, and p...
This paper describes an abstract framework, called valuation network (VN), for representing and solv...
This article establishes a dynamic programming argument for a maximin optimization problem where the...
International audienceThis article establishes a dynamic programming argument for a maximin optimiza...
The mathematical theory of dynamic programming as a means of solving dynamic optimization problems d...
We consider a discrete time Markov Decision Process, where the objectives are linear combinations of...
AbstractIn this paper we present a short and simple proof of the Bellman's principle of optimality i...
Edited by P. Perny and A. TsoukiasInternational audienceDynamic Programming is a powerful approach t...
Dynamic programming is a mathematical technique which provides a systematic procedure for determinin...
1. The problem of dynamic programming that appears often in economics takes the following form: Find...
We consider a discounted Markov Decision Process (MDP) supplemented with the requirement that anothe...
The fundamental goal, in preparing this thesis, is two-fold. First, the author shows the systematic ...
1. The basic problem and its solution in the deterministic case à 1.1. General deterministic case Dy...
AbstractWe consider stationary discounted deterministic dynamic programs with bounded rewards, and p...
This paper describes an abstract framework, called valuation network (VN), for representing and solv...
This article establishes a dynamic programming argument for a maximin optimization problem where the...
International audienceThis article establishes a dynamic programming argument for a maximin optimiza...
The mathematical theory of dynamic programming as a means of solving dynamic optimization problems d...
We consider a discrete time Markov Decision Process, where the objectives are linear combinations of...
AbstractIn this paper we present a short and simple proof of the Bellman's principle of optimality i...
Edited by P. Perny and A. TsoukiasInternational audienceDynamic Programming is a powerful approach t...
Dynamic programming is a mathematical technique which provides a systematic procedure for determinin...
1. The problem of dynamic programming that appears often in economics takes the following form: Find...
We consider a discounted Markov Decision Process (MDP) supplemented with the requirement that anothe...
The fundamental goal, in preparing this thesis, is two-fold. First, the author shows the systematic ...
1. The basic problem and its solution in the deterministic case à 1.1. General deterministic case Dy...
AbstractWe consider stationary discounted deterministic dynamic programs with bounded rewards, and p...
This paper describes an abstract framework, called valuation network (VN), for representing and solv...