A Framework for Modeling Bounded Rationality: Mis-Specified Bayesian-Markov Decision Processes

Author(s):  
Ignacio Esponda ◽  
Demian Pouzo
1983 ◽  
Vol 20 (04) ◽  
pp. 835-842
Author(s):  
David Assaf

The paper presents sufficient conditions for certain functions to be convex. Functions of this type often appear in Markov decision processes, where their maximum is the solution of the problem. Since a convex function takes its maximum at an extreme point, the conditions may greatly simplify a problem. In some cases a full solution may be obtained after the reduction is made. Some illustrative examples are discussed.


2005 ◽  
Vol 32 (4) ◽  
pp. 22-27 ◽  
Author(s):  
Christel Baier ◽  
Frank Ciesinski ◽  
Marcus Größer

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