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Yang Cai

Haipeng Luo

Is Online Linear Optimization Sufficient for Strategic Robustness?
Proximal Regret and Proximal Correlated Equilibria: A New Tractable Solution Concept for Online Learning and Games
From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
On Tractable Φ-Equilibria in Non-Concave Games
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback

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