Model-Free Learning for Two-Player Zero-Sum Partially Observable Markov Games with Perfect Recall

Tadashi Kozuno, Pierre Ménard, Rémi Munos +1

We study the problem of learning a Nash equilibrium (NE) in an imperfect information game (IIG) through self-play. Precisely, we focus on two-player, zero-sum, episodic, tabular II…