Ioannis Anagnostides
18 papers · 2021–2026 · 6 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.
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Research topics
Artificial Intelligence
(13)
Core AI
(13)
Mathematics & Optimization
(12)
Optimization
(12)
Machine Learning
(10)
Optimization & Theory
(7)
Learning Types
(5)
Reinforcement Learning
(3)
Methods
(2)
Applications
(1)
Core Methods
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Learning Paradigms Β· Machine Learning
(1)
Keywords
game theory
(7)
multi-agent system
(5)
nash equilibrium
(4)
zero-sum game
(4)
extensive-form game
(4)
coarse correlated equilibrium
(3)
regret bound
(3)
no-regret learning
(3)
online learning
(3)
multi-agent learning
(2)
policy gradient
(2)
swap regret
(2)
optimistic learning
(2)
multi-agent reinforcement learning
(2)
regret minimization
(2)
learning dynamics
(2)
learning theory
(2)
optimistic mirror descent
(2)
markov game
(2)
online optimization
(1)
Papers
Swap Regret Minimization Through Response-Based Approachability
COLT 2026
Expected Variational Inequalities
ICML 2025
The Value of Recall in Extensive-Form Games
AAAI 2025
Convergence of log(1/Ξ΅) for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
NeurIPS 2024
Efficient Ξ¦-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games
NeurIPS 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property
AAAI 2024
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
NeurIPS 2023
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
ICLR 2023
Meta-Learning in Games
ICLR 2023
Near-Optimal $Ξ¦$-Regret Learning in Extensive-Form Games
ICML 2023
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games
NeurIPS 2023
On the Interplay between Social Welfare and Tractability of Equilibria
NeurIPS 2023
Dimensionality and Coordination in Voting: The Distortion of STV
AAAI 2022
Near-Optimal No-Regret Learning Dynamics for General Convex Games
NeurIPS 2022
On Last-Iterate Convergence Beyond Zero-Sum Games
ICML 2022
Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games
NeurIPS 2022
Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games
NeurIPS 2022
Robust Learning under Strong Noise via SQs
AISTATS 2021