Dr. Amir Jafari, faculty member of the Department of Mathematical Sciences at Sharif University of Technology, has received the prestigious "Best Influential Paper Award" from the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). The award recognizes research that has left a lasting and profound impact on the development of a scientific field.
The award was presented on May 27, 2026, during the AAMAS 2026 International Conference – the world's most prominent scientific event in the fields of intelligent agents, multiagent systems, multiagent learning, and game theory – held in Paphos, Cyprus. Dr. Amir Jafari and Professor Amy Greenwald received the honor.
The recognition was given for their scientific paper titled "A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria," research rooted in Dr. Jafari's master's thesis at Brown University, published in 2003 in the prestigious Springer volume *Learning Theory and Kernel Machines.
The IFAAMAS Influential Paper Award is among the most distinguished research awards in the fields of intelligent and multiagent systems. It is granted to works that have achieved long-term, lasting impact on the scientific community by presenting a fundamental idea, opening new research directions, introducing innovative applications, or changing the way researchers think about core problems.
The research by Dr. Jafari and his colleague is considered a foundational work in online learning and game theory. By introducing the "No-Φ-Regret" framework, the paper provided a unified perspective for analyzing various types of no-regret learning algorithms and established a fundamental link between learning algorithms and equilibrium concepts in game theory.
For the first time, this framework explained well-known concepts such as external regret, internal regret, and swap regret within a common theoretical language, and introduced the corresponding "Φ-Equilibrium." This achievement significantly expanded researchers' understanding of the convergence of intelligent agent behavior and the formation of equilibrium in multiagent systems.
Over the past two decades, this research has become one of the key theoretical foundations in machine learning, multiagent learning, game theory, online algorithm design, and equilibrium computation, and it continues to be cited and utilized in cutting-edge research worldwide.
It is worth noting that this international award to Dr. Amir Jafari is a symbol of the enduring impact of fundamental research from Sharif University of Technology at the frontiers of knowledge, and an affirmation of the role of its researchers in shaping global scientific discourse.
