Learning to Control Unknown Strongly Monotone Games

Consider N players each with a d-dimensional action set. Each of the players' utility functions includes their reward function and a linear term for each dimension, with coefficients that are controlled by the manager. We assume that the game is strongly monotone, so if each player runs gradient descent, the... Show more