Andjela Mladenovic

I am a PhD student at Mila and Université de Montréal, advised by Gauthier Gidel and Aaron Courville.

I study questions of AI deployment and AI alignment through the lenses of multi-agent systems and game theory.

AI Deployment

My research asks how AI can be incorporated to address pressing real-world problems and how these systems can be deployed safely —from individual applications to large-scale systems that shape incentives and societal outcomes.

AI Alignment

Different researchers use the term AI alignment in different ways. In my work, I use it to refer to the development of new methods and principles that guide how AI systems should behave, while AI deployment focuses on understanding how existing methods behave in practice.

More recently, my work has turned toward alignment, where I explore ideas from bounded rationality and invariance as potential foundations for guiding system behavior in complex, multi-agent settings.

Publications & Preprints

• Why Open Source? A Game-Theoretic Analysis of the AI Race
  Andjela Mladenovic, Aaron Courville, Gauthier Gidel
  to appear in the Springer Lecture Notes in Artificial Intelligence (LNAI) series, COINE 2026

• A Persuasive Approach to Combating Misinformation
  Safwan Hossain, Andjela Mladenovic, Yiling Chen, Gauthier Gidel
  ICML 2024

• Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs
  Andjela Mladenovic, Iosif Sakos, Gauthier Gidel, Georgios Piliouras
  ICLR 2022

• Online Adversarial Attacks
  Andjela Mladenovic, Avishek Joey Bose, Hugo Bérard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
  ICLR 2022

• Designing Fairly Fair Classifiers via Economic Fairness Notions
  Safwan Hossain, Andjela Mladenovic, Nisarg Shah
  WWW 2020

Background

Prior to coming to Canada, I spent the first 18 years of my life in Belgrade, Serbia, where I attended Mathematical Grammar School and competed in mathematics competitions. I later moved to Canada, where I completed my undergraduate studies in engineering at the University of Toronto.

My current research is primarily motivated by (what I consider) pressing real-world problems, but I still occasionally get distracted by the elegance of solutions to open problems in combinatorics and online algorithms and I always enjoy hearing about new ones.

Contact

You are welcome to contact me at “firstname”.”lastname”@mila.quebec