Add to ORKGAbstract. This paper is devoted to sequential decision problems with imprecise probabilities. We study the problem of determining an opti-mal strategy according to the Hurwicz criterion in decision trees. More precisely, we investigate this problem from the computational viewpoint. When the decision tree is separable (to be defined in the paper), we pro-vide an operational approach to compute an optimal strategy, based on a bicriteria dynamic programming procedure. The results of numerical tests are presented. When the decision tree is non-separable, we prove the NP-hardness of the problem
This paper presents new insights and novel algorithms for strategy selection in sequential decision ...
The paper concerns multicriteria decision making under uncertainty with scenario planning. This topi...
Decision trees are representations of discrete functions with widespread applications in, e.g., com...
International audienceThis paper focuses on sequential decision problems under uncertainty, i.e. seq...
International audienceThe major paradigm for sequential decision under uncertainty is expected utili...
International audienceThis paper focuses on sequential qualitative decision problems, where no proba...
The major paradigm for sequential decision under uncertainty is expected utility. This approach has ...
Edited by Enrique Miranda and Ignacio MontesInternational audienceThis paper focuses on sequential q...
This paper focuses on sequential qualitative decision problems, where no probability distribution on...
The major paradigm for sequential decision under uncertainty is expected utility. This approach has ...
Partially ordered preferences generally lead to choices that do not abide by standard expected utili...
Edited by Enrique Miranda and Ignacio MontesInternational audienceThis paper focuses on sequential q...
Edited by Enrique Miranda and Ignacio MontesInternational audienceThis paper focuses on sequential q...
International audienceThis paper is devoted to sequential decision making under uncertainty, in the ...
This paper is devoted to sequential decision mak-ing under uncertainty, in the multi-prior framework...
This paper presents new insights and novel algorithms for strategy selection in sequential decision ...
The paper concerns multicriteria decision making under uncertainty with scenario planning. This topi...
Decision trees are representations of discrete functions with widespread applications in, e.g., com...
International audienceThis paper focuses on sequential decision problems under uncertainty, i.e. seq...
International audienceThe major paradigm for sequential decision under uncertainty is expected utili...
International audienceThis paper focuses on sequential qualitative decision problems, where no proba...
The major paradigm for sequential decision under uncertainty is expected utility. This approach has ...
Edited by Enrique Miranda and Ignacio MontesInternational audienceThis paper focuses on sequential q...
This paper focuses on sequential qualitative decision problems, where no probability distribution on...
The major paradigm for sequential decision under uncertainty is expected utility. This approach has ...
Partially ordered preferences generally lead to choices that do not abide by standard expected utili...
Edited by Enrique Miranda and Ignacio MontesInternational audienceThis paper focuses on sequential q...
Edited by Enrique Miranda and Ignacio MontesInternational audienceThis paper focuses on sequential q...
International audienceThis paper is devoted to sequential decision making under uncertainty, in the ...
This paper is devoted to sequential decision mak-ing under uncertainty, in the multi-prior framework...
This paper presents new insights and novel algorithms for strategy selection in sequential decision ...
The paper concerns multicriteria decision making under uncertainty with scenario planning. This topi...
Decision trees are representations of discrete functions with widespread applications in, e.g., com...