Simultaneously decoding the unknown stationary state and function
parameters for mean field games
Simultaneously decoding the unknown stationary state and function
parameters for mean field games
Mean field games (MFGs) offer a versatile framework for modeling large-scale interactive systems across multiple domains. This paper builds upon a previous work, by developing a state-of-the-art unified approach to decode or design the unknown stationary state of MFGs, in addition to the underlying parameter functions governing their behavior. This …