Andreas Kontogiannis
RESEARCH INTERESTS
Andreas' research interests include reinforcement learning (RL) theory and its applications to algorithmic game theory. Specifically, his research will focus on areas such as multi-agent RL and learning in games (e.g. in stochastic games).
SHORT BIO
Andreas holds an MSc degree in Data Science and Machine Learning from the National Technical University of Athens and an MEng in Electrical and Computer Engineering from the same institution. In parallel to his studies, he was a research assistant in various research labs, including the AI labs at NCSR “Demokritos” and at the University of Piraeus, while he successfully completed a 6-month internship at Amazon as an Applied Scientist in Barcelona.
His so far research experience has focused on RL; he has published his work on different areas, including exploration in multi-agent RL for solving cooperative games, interpretable RL applied to complex real-world congestion games and RL for optimizing focused web crawlers.
