Department of Informatics
Aristotle University of Thessaloniki
E-mail: arislaza@csd.auth.gr

PhD

• Topic: Deep Reinforcement Learning Methods
• Supervisor: Prof. Ioannis Vlahavas

Short CV

Ι received my diploma in Mathematics (2013) from the department of Mathematics, Aristotle University of Thessaloniki (AUTh). From the same department I also received my master’s degree in Theoretical Computer Science and Theory of Systems and Control (2016). Since 2018, I am a PhD candidate in the department of Informatics, AUTh, under the supervision of prof. Ioannis Vlahavas.
My research interests are (Deep) Reinforcement Learning algorithms and their applications in the games domain.

Publications

• Lazaridis A., Fachantidis A., Vlahavas I., “Deep Reinforcement Learning: A State-of-the-Art Walkthrough“, Journal of Artificial Intelligence Research (JAIR), vol. 69, AI Access Foundation, 2021, https://doi.org/10.1613/JAIR.1.12412.
• Lazaridis A., Vlahavas I., “REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents“, Neurocomputing, vol. 497, Elsevier, 2022, https://doi.org/10.1016/j.neucom.2022.05.004.
• Lazaridis A., Vlahavas I., “GENEREIT: Generating Multi-talented Reinforcement Learning Agents” [video], International Journal of Information Technology, Springer, 2022, https://doi.org/10.1007/s41870-022-01137-y.
• Pandria N., Petronikolou V., Lazaridis A., Karapiperis C., Kouloumpris E., Spachos D., Fachantidis A., Vasileiou D., Vlahavas I., Bamidis P., “Information System for Symptom Diagnosis and Improvement of Attention Deficit Hyperactivity Disorder: Protocol for a Nonrandomized Controlled Pilot Study”, JMIR Research Protocols, JMIR Publications, 2022, https://doi.org/10.2196/40189.
• Liapis G., Lazaridis A., Ioannis Vlahavas. “Multi-agent Deep Reinforcement Learning System for Assessing Personality Traits and Intelligence in Gamified Environment”. Applied Intelligence, Springer, 2022 (under review).
• Kouloumpris E., Lazaridis A., Fachantidis A. and Vlahavas I., “Diagnosing Attention Deficit Hyperactivity Disorder Using SVM on Serious Game-Generated Data”, Entertainment Computing, Elsevier, 2022 (under review).

Conferences

• Moschopoulos V., Kyriakidis P., Lazaridis A., Vlahavas I., “Lucy-SKG: Learning to Play Rocket League Using Deep Reinforcement Learning”, 32nd International Joint Conference on Artificial Intelligence (IJCAI-23),Cape Town, South Africa, 19-25 August, 2023 (submitted).
• Lazaridis A., Perchanidis C., Chovardas D., Vlahavas I., “AlphaBluff: An AI-Powered Heads-Up No-Limit Texas Hold’em Poker Video Game“, 16th International Conference on Innovations in Intelligent Systems and Applications (INISTA), Biarritz, France, 8-10 August, 2022.
• Lazaridis A., Fachantidis A., Vlahavas I., “Deep Reinforcement Learning: A State-of-the-Art Walkthrough”, 30th International Joint Conference on Artificial Intelligence (IJCAI-21), Montreal, Canada, 19-16 August, 2021 (invited presentation).
• Liapis G., Lazaridis A., Vlahavas I., “Escape Room Experience for Team Building Through Gamification Using Deep Reinforcement Learning”, 15th European Conference on Game-Based Learning (ECGBL 2021), Brighton, UK, 23-24 September, 2021.
• Tsionas A., Lazaridis A., Vlahavas I., “Serious Game Development for the Diagnosis of Major Depressive Disorder Cases Using Machine Learning Methods“, Games and AI – Technological, Cultural and Societal aspects (GAITECUS0), A SETN 2020 Workshop, Athens, Greece, 2-4 September, 2020.

Academic Achievements

• Received invitation to present orally our published work “Deep Reinforcement Learning: A State-of-the-Art Walkthrough” in premier Artificial Intelligence conference IJCAI-21, plus participate in the poster session. [poster]
• Video demonstration of the proposed model in our paper “GENEREIT: Generating Multi-talented Reinforcement Learning Agents” was accepted for presentation in IJCAI-22 video competition. [video]
• Received scholarship from State Scholarships Foundation (IKY) for the PhD studies.
• Received compensatory scholarship from the School of Informatics for working as a teaching assistant in postgraduate course “Machine Learning”, funded by Aristotle University of Thessaloniki.