This paper presents a model o f dynamic, discrete decision-making problem (finite number of periods, states and decision variables). Described process has returns in random variables spaces equipped with partial order. The model can be applied for many multi-stage, multi-criteria decision making problems. There are a lot o f order relations to compare random variables. Properties o f those structures let us apply Bellman’s Principle o f dynamic programming. The result o f using this procedure is obtainment o f a whole set o f optimal values (in the sense o f order relation). For illustration, there is presented a numerical example
We propose empirical dynamic programming algorithms for Markov decision processes (MDPs). In these a...
Problems of sequential decisions are marked by the fact that the consequences of a decision made at ...
In this work, we present Dijkstra’s model as it relates to Richard Bellman equation. This model find...
This paper deals with a problem o f dynamic optimization with values o f criteria function in the s...
This paper presents a model of dynamic, discrete decision-making problem (finite number of periods,...
AbstractA simple deterministic dynamic programming model is used as a general framework for the anal...
Title: Stochastic Dynamic Programming Problems: Theory and Applications Author: Gabriel Lendel Depar...
AbstractA sequential decision model is developed in the context of which three principles of optimal...
Dynamic programming (DP) is one of the most important mathematical programming methods. However, a m...
This thesis is a survey of the present status of the mathematical aspects of dynamic Programming. Dy...
2017-07-19Dynamic programming has become a common method in practice in solving optimization problem...
The concept of dynamic programming was originally used in late 1949, mostly during the 1950s, by Ric...
AbstractThis paper concerns a discrete-time Markov decision model with an infinite planning horizon....
AbstractDynamic programming problems have always been stated in terms of stages, states, decisions, ...
The aim of this paper is to provide the proof of a Dynamic Programming Principle for a certain class...
We propose empirical dynamic programming algorithms for Markov decision processes (MDPs). In these a...
Problems of sequential decisions are marked by the fact that the consequences of a decision made at ...
In this work, we present Dijkstra’s model as it relates to Richard Bellman equation. This model find...
This paper deals with a problem o f dynamic optimization with values o f criteria function in the s...
This paper presents a model of dynamic, discrete decision-making problem (finite number of periods,...
AbstractA simple deterministic dynamic programming model is used as a general framework for the anal...
Title: Stochastic Dynamic Programming Problems: Theory and Applications Author: Gabriel Lendel Depar...
AbstractA sequential decision model is developed in the context of which three principles of optimal...
Dynamic programming (DP) is one of the most important mathematical programming methods. However, a m...
This thesis is a survey of the present status of the mathematical aspects of dynamic Programming. Dy...
2017-07-19Dynamic programming has become a common method in practice in solving optimization problem...
The concept of dynamic programming was originally used in late 1949, mostly during the 1950s, by Ric...
AbstractThis paper concerns a discrete-time Markov decision model with an infinite planning horizon....
AbstractDynamic programming problems have always been stated in terms of stages, states, decisions, ...
The aim of this paper is to provide the proof of a Dynamic Programming Principle for a certain class...
We propose empirical dynamic programming algorithms for Markov decision processes (MDPs). In these a...
Problems of sequential decisions are marked by the fact that the consequences of a decision made at ...
In this work, we present Dijkstra’s model as it relates to Richard Bellman equation. This model find...