PhD research on "Learning in Stackelberg Games"
Abstract: We study a bi-level toll pricing game in which operators (leaders) set tolls on network links, while non-atomic players (followers) minimize their transportation costs, given by the sum of link delays and tolls along their chosen path. Our focus is on the game’s dynamics when operators employ learning algorithms.