Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games. - Stratis Skoulakis; Tanner Fiez; Ryann Sim; Georgios Piliouras; Lillian J. Ratliff (AAAI, 2021)

Online Learning in Periodic Zero-Sum Games. - Tanner Fiez; Ryann Sim; Stratis Skoulakis; Georgios Piliouras; Lillian J. Ratliff (NeurIPS, 2021)

Optimal No-Regret Learning in General Games: Bounded Regret with Unbounded Step-Sizes via Clairvoyant MWU. - Georgios Piliouras; Ryann Sim; Stratis Skoulakis (CoRR, 2021)

Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence. - Rahul Jain; Georgios Piliouras; Ryann Sim (NeurIPS, 2022)

Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update. - Georgios Piliouras; Ryann Sim; Stratis Skoulakis (NeurIPS, 2022)

Fast Convergence of Optimistic Gradient Ascent in Network Zero-Sum Extensive Form Games. - Georgios Piliouras; Lillian J. Ratliff; Ryann Sim; Stratis Skoulakis (SAGT, 2022)

Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps. - Volkan Cevher; Georgios Piliouras; Ryann Sim; Stratis Skoulakis (SOSA, 2023)

Quantum Potential Games, Replicator Dynamics, and the Separability Problem. - Wayne Lin; Georgios Piliouras; Ryann Sim; Antonios Varvitsiotis (CoRR, 2023)

No-Regret Learning and Equilibrium Computation in Quantum Games. - Wayne Lin; Georgios Piliouras; Ryann Sim; Antonios Varvitsiotis (Quantum, 2024)

Fast and Furious Symmetric Learning in Zero-Sum Games: Gradient Descent as Fictitious Play. - John Lazarsfeld; Georgios Piliouras; Ryann Sim; Andre Wibisono (COLT, 2025)

Learning in Quantum Common-Interest Games and the Separability Problem. - Wayne Lin; Georgios Piliouras; Ryann Sim; Antonios Varvitsiotis (Quantum, 2025)

Optimism Without Regularization: Constant Regret in Zero-Sum Games. - John Lazarsfeld; Georgios Piliouras; Ryann Sim; Stratis Skoulakis (CoRR, 2025)