Overview
\u200bThere are several techniques to study noncooperative dynamic games, such\xa0as dynamic programming and the maximum principle (also called the Lagrange\xa0method). It turns out, however, that one way to characterize dynamic potential\xa0games requires to analyze inverse optimal control problems, and it is here where\xa0the Euler equation approach comes in because it is particularly well-suited to\xa0solve inverse problems.\xa0Despite the importance of dynamic potential games, there is no systematic\xa0study about them. This\xa0monograph is\xa0the first\xa0attempt to provide a systematic, self-contained presentation of stochastic dynamic\xa0potential games.
