Gabriele Farina

Differentially Private Equilibrium Finding in Polymatrix Games

Computing Equilibrium beyond Unilateral Deviation

Online Learning and Equilibrium Computation with Ranking Feedback

Reevaluating Policy Gradient Methods for Imperfect-Information Games

Learning Correlated Reward Models: Statistical Barriers and Opportunities

On the Universal Near Optimality of Hedge in Combinatorial Settings

Expected Variational Inequalities

Efficient Kernelized Learning in Polyhedral Games beyond Full Information: From Colonel Blotto to Congestion Games

UFT: Unifying Supervised and Reinforcement Fine-Tuning

Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games

The Complexity of Correlated Equilibria in Generalized Games

A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence

Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games