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Discrete-Time Stochastic Control and Dynamic Potential Games - The Euler-Equation Approach (Paperback, 2013 ed.)
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Discrete-Time Stochastic Control and Dynamic Potential Games - The Euler-Equation Approach (Paperback, 2013 ed.)
Series: SpringerBriefs in Mathematics
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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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