Fivos Kalogiannis
Φοίβος Καλογιάννης
/ˈfi.vos/ /kaloˈʝanis/
UC San Diego
I take an interest in (multi-)agent reinforcement learning theory, algorithmic game theory, optimization, and machine learning theory. I like both theory and fascinating applications.
I am a CS PhD student at UC San Diego advised by prof. Mikhail Belkin. Previously, I got my MS in Computer Science at UC Irvine advised by prof. Ioannis Panageas where I worked extensively on algorithmic game theory and multi-agent reinforcement learning. Even before that, I did my undergrad in Electrical and Computer Engineering at the National Technical University of Athens.
I grew up on a remote island of the North Aegean Sea, Lemnos.
news
Sep 25, 2024 | New paper accepted at NeurIPS 2024 with Jingming Yan and Ioannis Panageas! Title: Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem (on arxiv, soon). |
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Sep 22, 2023 | Our paper Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria got accepted in NeurIPS 2023! See you in NOLA! |
May 1, 2023 | Our paper Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games got accepted in EC 2023! |