In the empirical approach to game-theoretic analysis (EGTA), the model of the game comes
not from declarative representation, but is derived by interrogation of a procedural …

Game theory is the study of mathematical models of strategic interactions among rational
agents. Language is a key medium of interaction for humans, though it has historically …

Recent algorithms have achieved superhuman performance at a number of two-player zero-
sum games such as poker and go. However, many real-world situations are multi-player …

Game theory provides a mathematical way to study the interaction between multiple
decision makers. However, classical game-theoretic analysis is limited in scalability due to …

We study the problem of characterizing optimal learning algorithms for playing repeated
games against an adversary with unknown payoffs. In this problem, the first player (called …

We study the problem of finding optimal correlated equilibria of various sorts: normal-form
coarse correlated equilibrium (NFCCE), extensive-form coarse correlated equilibrium …

In this paper, we study the class of games known as hidden-role games in which players are
assigned privately to teams and are faced with the challenge of recognizing and cooperating …

We consider the problem of steering no-regret-learning agents to play desirable equilibria
via nonnegative payments. We show that steering is impossible if the total budget (across …

Learning algorithms are often used to make decisions in sequential decision-making
environments. In multi-agent settings, the decisions of each agent can affect the …

We compute equilibrium strategies in multi-stage games with continuous signal and action
spaces as they are widely used in the management sciences and economics. Examples …