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Discrete Time Stochastic Control and Dynamic Potential Games

Discrete Time Stochastic Control and Dynamic Potential Games

David Gonzalez Sanchez / Onesimo Hernandez Lerma

60,65 €
IVA incluido
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Editorial:
Springer Nature B.V.
Año de edición:
2013
Materia
Probabilidad y estadística
ISBN:
9783319010588
60,65 €
IVA incluido
Disponible

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Sobre IBD

​There are several techniques to study noncooperative dynamic games, such as dynamic programming and the maximum principle (also called the Lagrange method). It turns out, however, that one way to characterize dynamic potential games requires to analyze inverse optimal control problems, and it is here where the Euler equation approach comes in because it is particularly well-suited to solve inverse problems. Despite the importance of dynamic potential games, there is no systematic study about them. This monograph is the first attempt to provide a systematic, self-contained presentation of stochastic dynamic potential games.

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