8 papers · 1 filter
Policy Optimization for Dynamic Heart Transplant Allocation
Ioannis Anagnostides, Zachary W. Sollie, Arman Kilic +1
Heart transplantation is a viable path for patients suffering from advanced heart failure, but this lifesaving option is severely limited due to donor shortage. Although the curren…
Convergence of Regret Matching in Potential Games and Constrained Optimization
Ioannis Anagnostides, Emanuel Tewolde, Brian Hu Zhang +3
Regret matching (RM) -- and its modern variants -- is a foundational online algorithm that has been at the heart of many AI breakthrough results in solving benchmark zero-sum games…
The Complexity of Equilibrium Refinements in Potential Games
Ioannis Anagnostides, Maria-Florina Balcan, Kiriaki Fragkia +3
The complexity of computing equilibrium refinements has been at the forefront of algorithmic game theory research, but it has remained open in the seminal class of potential games;…
Scale-Invariant Regret Matching and Online Learning with Optimal Convergence: Bridging Theory and Practice in Zero-Sum Games
Brian Hu Zhang, Ioannis Anagnostides, Tuomas Sandholm
A considerable chasm has been looming for decades between theory and practice in zero-sum game solving through first-order methods. Although a convergence rate of has long…
A Polynomial-Time Algorithm for Variational Inequalities under the Minty Condition
Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm +1
Solving (Stampacchia) variational inequalities (SVIs) is a foundational problem at the heart of optimization. However, this expressivity comes at the cost of computational hardness…
Expected Variational Inequalities
Brian Hu Zhang, Ioannis Anagnostides, Emanuel Tewolde +4
Variational inequalities (VIs) encompass many fundamental problems in diverse areas ranging from engineering to economics and machine learning. However, their considerable expressi…
Learning and Computation of -Equilibria at the Frontier of Tractability
Brian Hu Zhang, Ioannis Anagnostides, Emanuel Tewolde +4
-equilibria -- and the associated notion of -regret -- are a powerful and flexible framework at the heart of online learning and game theory, whereby enriching the set of dev…
The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games
Ioannis Anagnostides, Ioannis Panageas, Tuomas Sandholm +1
We consider the problem of computing stationary points in min-max optimization, with a particular focus on the special case of computing Nash equilibria in (two-)team zero-sum game…