Multi-Agent Learning

Convex Markov Games and Beyond: New Proof of Existence, Characterization and Learning Algorithms for Nash Equilibria

Online Multi-Agent Control with Adversarial Disturbances

Optimistic Online Learning in Symmetric Cone Games

Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity and Last Iterate Convergence

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