Academic Journal
Asymptotic Nash Equilibria of Finite-State Ergodic Markovian Mean Field Games.
| Τίτλος: | Asymptotic Nash Equilibria of Finite-State Ergodic Markovian Mean Field Games. |
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| Συγγραφείς: | Cohen, Asaf1 (AUTHOR) asafc@umich.edu, Zell, Ethan1 (AUTHOR) ezell@umich.edu |
| Πηγή: | Mathematics of Operations Research (INFORMS). May2026, Vol. 51 Issue 2, p1139-1173. 35p. |
| Θεματικοί όροι: | *Nash equilibrium, *Markov processes, *Game theory, Finite state machines, Hamilton-Jacobi-Bellman equation, Large deviation theory, Galerkin methods, Cost functions |
| People: | Nash, John F., 1928-2015 |
| Περίληψη: | Mean field games (MFGs) model equilibria in games with a continuum of weakly interacting players as limiting systems of symmetric n-player games. We consider the finite-state, infinite-horizon problem with ergodic cost. Assuming Markovian strategies, we first prove that any solution to the MFG system gives rise to a (C/n) -Nash equilibrium in the n-player game. We follow this result by proving the same is true for the strategy profile derived from the master equation. We conclude the main theoretical portion of the paper by establishing a large deviation principle for empirical measures associated with the asymptotic Nash equilibria. Then, we contrast the asymptotic Nash equilibria using an example. We solve the MFG system directly and numerically solve the ergodic master equation by adapting the deep Galerkin method. We use these results to derive the strategies of the asymptotic Nash equilibria and compare them. Finally, we derive an explicit form for the rate functions in dimension two. [ABSTRACT FROM AUTHOR] |
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