University of Wisconsin-Madison; Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG, 38000 Grenoble, France, Criteo AI Lab; University of California, Berkeley; Stanford University
Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil-Vasileios Vlatakis-Gkaragkounis
Policy gradient methods;stochastic games;Nash equilibria;convergence
On the convergence of policy gradient methods to Nash equilibria in general stochastic games