A General Framework for Optimizing and Learning Nash Equilibrium

Di Zhang, Wei Gu, Qing Jin

One key in real-life Nash equilibrium applications is to calibrate players' cost functions. To leverage the approximation ability of neural networks, we proposed a general framewor…