NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria

Eason Yu, Tzu Hao Liu, Clément L. Canonne +4

Finding Nash equilibria in two-player zero-sum imperfect-information games remains a central challenge in multi-agent reinforcement learning. Recent multi-round regularization meth…