A bilevel policy optimization algorithm for continuous-time linear-quadratic graphon mean field games converges linearly to best-response policies and globally to the Nash equilibrium.
Unified reinforcement q-learning for mean field game and control problems
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Policy Optimization for Continuous-time Linear-Quadratic Graphon Mean Field Games
A bilevel policy optimization algorithm for continuous-time linear-quadratic graphon mean field games converges linearly to best-response policies and globally to the Nash equilibrium.