Fivos Kalogiannis
Φοίβος Καλογιάννης
/ˈfi.vos/ /kaloˈʝanis/
UC San Diego
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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! |
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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. |