Mean Field Game

A game-theoretic framework introduced by Lions and Lasry in 2006 that studies optimal decision-making for large populations of agents whose strategies are influenced by the aggregate distribution of the group. It has significant applications in multi-agent systems and the analysis of neural network training dynamics.