Fivos Kalogiannis

6 papers · 2023–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12) 🏆 Grand Slam

Venues

ICLR (2) NeurIPS (2) AAAI (1) ICML (1)

Top co-authors

Ioannis Panageas (5) Emmanouil-Vasileios Vlatakis-Gkaragkounis (3) Ioannis Anagnostides (1) Nikolas Patris (1) Rose Zhang (1) Georgios Piliouras (1) Stelios Stavroulakis (1) Jingming Yan (1) Vaggos Chatziafratis (1) Ian Gemp (1)

Research topics

Artificial Intelligence (5) Core AI (5) Machine Learning (4) Mathematics & Optimization (4) Optimization (4) Optimization & Theory (4) Reinforcement Learning (3) Methods (3) Learning Types (2)

Keywords

nash equilibrium (5) zero-sum game (3) policy gradient (3) markov game (3) min-max optimization (2) multi-agent system (2) multi-agent reinforcement learning (2) last-iterate convergence (1) gradient descent ascent (1) potential game (1) algorithmic game theory (1) nonconvex regularization (1) adversarial game (1) best response (1) lagrangian formulation (1) coarse correlated equilibria (1) adversarial team (1) convex markov games (1) proximal polyak-łojasiewicz (1) stochastic nested gradient descent-ascent (1)

Papers

Solving Zero-Sum Convex Markov Games ICML 2025 Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints AAAI 2024 Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NeurIPS 2024 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games ICLR 2023 Towards convergence to Nash equilibria in two-team zero-sum games ICLR 2023 Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria NeurIPS 2023