Discrete–time Stochastic Control And Dynamic Potential Games

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    Discrete–Time Stochastic Control and Dynamic Potential Games
    The Euler–Equation Approach
    By: David González-Sánchez; Onésimo Hernández-Lerma
    Publisher:
    Springer
    Print ISBN: 9783319010588, 3319010581
    eText ISBN: 9783319010595, 331901059X
    Copyright year: 2013
    Format: EPUB
    Available from $ 49.99 USD
    SKU 9783319010595
    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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