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 about to move to UC San Diego as a CS PhD student advised by prof. Mikhail Belkin. Previously, I got my MS in Computer Science at UC Irvine advised by prof. Ioannis Panageas. 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 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!
Jan 21, 2023 Two papers accepted in ICLR 2023! Efficiently Computing Nash Equilibria in Adversarial Team Markov Games accepted as notable 5% (oral presentation).
Towards convergence to Nash equilibria in two-team zero-sum games accepted as a poster presentation.