In numerical experiments, we examine how our proposed semi-implicit finite difference algorithm effectively handles convergence properties, especially under the fictitious play framework.
The running cost encourages agents to stay below the average state of others, while the stopping cost promotes longer play, without guaranteeing equilibrium existence in iterations.
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