AbstractThe method for determining the range over which a state probability may change without affecting the optimal solution is well documented in introductory management science text books for problems in which there are only two states of nature. For more realistic problems in which there are more than two states of nature, the methodology does not work. In this paper, we extend the approach taken for the two state problem to handle n states and present a simple algorithm for determining the range
Many real-world decision making situation are associated with uncertainty regarding future state of ...
In this thesis, we study the role of adaptivity in decision-making problems under uncertainty. The f...
Edited by P. Perny and A. TsoukiasInternational audienceDynamic Programming is a powerful approach t...
AbstractThe method for determining the range over which a state probability may change without affec...
This paper concerns decisions under uncertainty in which the probabilities of the states of nature a...
AbstractWe propose a method for computing the range of the optimal decisions when the utility functi...
One of the future trends in optimal control theory, as well as in decision theory, is likely to conc...
This paper lays down conceptual groundwork for optimal choice in infinite-horizon finite-state Marko...
[[abstract]]This paper concentrates on sensitivity analysis of the optimal solution for the assignme...
The aim here is to obtain the minimum amount of information required from a decision maker in order ...
Abstract In this paper, we consider the decision problem that an automated control system faces when...
Abstract. In many practical situations, users select between n alternatives a1,..., an, and the only...
In recent years, the optimization, statistics and machine learning communities have built momentum i...
http://klinechair.missouri.edu/Vita_Revised.htm (#48)Where there are infinitely many possible [equip...
The two-envelope problem is a conundrum in decision theory that is subject to longstanding debate. I...
Many real-world decision making situation are associated with uncertainty regarding future state of ...
In this thesis, we study the role of adaptivity in decision-making problems under uncertainty. The f...
Edited by P. Perny and A. TsoukiasInternational audienceDynamic Programming is a powerful approach t...
AbstractThe method for determining the range over which a state probability may change without affec...
This paper concerns decisions under uncertainty in which the probabilities of the states of nature a...
AbstractWe propose a method for computing the range of the optimal decisions when the utility functi...
One of the future trends in optimal control theory, as well as in decision theory, is likely to conc...
This paper lays down conceptual groundwork for optimal choice in infinite-horizon finite-state Marko...
[[abstract]]This paper concentrates on sensitivity analysis of the optimal solution for the assignme...
The aim here is to obtain the minimum amount of information required from a decision maker in order ...
Abstract In this paper, we consider the decision problem that an automated control system faces when...
Abstract. In many practical situations, users select between n alternatives a1,..., an, and the only...
In recent years, the optimization, statistics and machine learning communities have built momentum i...
http://klinechair.missouri.edu/Vita_Revised.htm (#48)Where there are infinitely many possible [equip...
The two-envelope problem is a conundrum in decision theory that is subject to longstanding debate. I...
Many real-world decision making situation are associated with uncertainty regarding future state of ...
In this thesis, we study the role of adaptivity in decision-making problems under uncertainty. The f...
Edited by P. Perny and A. TsoukiasInternational audienceDynamic Programming is a powerful approach t...