Policy Optimization for Markov Games: Unified Framework and Faster Convergence

Runyu Zhang, Qinghua Liu, Huan Wang +3

This paper studies policy optimization algorithms for multi-agent reinforcement learning. We begin by proposing an algorithm framework for two-player zero-sum Markov Games in the f…