Niao He

Latest

• Independent Policy Mirror Descent for Markov Potential Games: Scaling to Large Number of Players
• Independent Learning in Constrained Markov Potential Games
• Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity
• Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space
• Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies