Meta-Learning in Self-Play Regret Minimization

David Sychrovský, Martin Schmid, Michal Šustr +1

Regret minimization is a general approach to online optimization which plays a crucial role in many algorithms for approximating Nash equilibria in two-player zero-sum games. The l…