Reformulates potential mean field games on finite graphs as a finite-dimensional initial-value optimization problem with ODE dynamics constraints, solved via neural networks.
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Discrete Mean Field Games on Finite Graphs as Initial Value Optimization
Reformulates potential mean field games on finite graphs as a finite-dimensional initial-value optimization problem with ODE dynamics constraints, solved via neural networks.