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cs.LG2025
PIONM: A Generalized Approach to Solving Density-Constrained Mean-Field Games Equilibrium under Modified Boundary Conditions
Jinwei Liu, Wang Yao, Xiao Zhang
Neural network-based methods are effective for solving equilibria in Mean-Field Games (MFGs), particularly in high-dimensional settings. However, solving the coupled partial differ…
cs.LG2025
A Constraint-Preserving Neural Network Approach for Solving Mean-Field Games Equilibrium
Jinwei Liu, Lu Ren, Wang Yao +1
Neural network-based methods have demonstrated effectiveness in solving high-dimensional Mean-Field Games (MFG) equilibria, yet ensuring mathematically consistent density-coupled e…