International audienceThis paper proposes dynamic programming tools for payoffs based on aggregating functions that depend on the current action and the future expected payoff. Some regularity properties are provided on the aggregator to establish existence, uniqueness and computation of the solution to the Bellman equation. Our setting allows to encompass and generalize many previous results based upon additive or non-additive payoff functions
International audienceUsing dynamic programming methodology, the paper analyzes the most general con...
AbstractIn this work a sufficient condition for deterministic dynamic optimization with discrete tim...
In this paper we develop a general framework to analyze stochastic dynamic optimization problems in ...
International audienceThis paper proposes dynamic programming tools for payoffs based on aggregating...
International audienceThis paper proposes dynamic programming tools for payoffs based on aggregating...
URL des Documents de travail : http://centredeconomiesorbonne.univ-paris1.fr/documents-de-travail/Do...
The unifying purpose of this paper to introduces basic ideas and methods of dynamic programming. It ...
We study dynamic rationing problems. In each period, a fixed group of agents hold claims over an ins...
We study stochastic dynamic programming with recursive utility in settings where multiplicity of val...
Dynamic programming is an essential tool lying at the heart of many problems in the modern theory of...
frobertcmeyerpsteffengtechfakunibielefeldde Abstract Dynamic programming is a classic programming t...
Timescales calculus allows signals to have both continuous-time and discrete-time properties. It has...
We establish some elementary results on solutions to the Bellman equation without introducing any to...
AbstractIn this paper we present a short and simple proof of the Bellman's principle of optimality i...
This dissertation is written in two parts. In the first part, we overview and extend a novel, robust...
International audienceUsing dynamic programming methodology, the paper analyzes the most general con...
AbstractIn this work a sufficient condition for deterministic dynamic optimization with discrete tim...
In this paper we develop a general framework to analyze stochastic dynamic optimization problems in ...
International audienceThis paper proposes dynamic programming tools for payoffs based on aggregating...
International audienceThis paper proposes dynamic programming tools for payoffs based on aggregating...
URL des Documents de travail : http://centredeconomiesorbonne.univ-paris1.fr/documents-de-travail/Do...
The unifying purpose of this paper to introduces basic ideas and methods of dynamic programming. It ...
We study dynamic rationing problems. In each period, a fixed group of agents hold claims over an ins...
We study stochastic dynamic programming with recursive utility in settings where multiplicity of val...
Dynamic programming is an essential tool lying at the heart of many problems in the modern theory of...
frobertcmeyerpsteffengtechfakunibielefeldde Abstract Dynamic programming is a classic programming t...
Timescales calculus allows signals to have both continuous-time and discrete-time properties. It has...
We establish some elementary results on solutions to the Bellman equation without introducing any to...
AbstractIn this paper we present a short and simple proof of the Bellman's principle of optimality i...
This dissertation is written in two parts. In the first part, we overview and extend a novel, robust...
International audienceUsing dynamic programming methodology, the paper analyzes the most general con...
AbstractIn this work a sufficient condition for deterministic dynamic optimization with discrete tim...
In this paper we develop a general framework to analyze stochastic dynamic optimization problems in ...