Computer Science - Machine Learning

Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
On Tractable $\Phi$-Equilibria in Non-Concave Games
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms