George Papadopoulos
Researcher
Research Interests
Reinforcement Learning, Multi-agent Systems, Deep / Machine Learning
Contact
Additional Information
George Papadopoulos is a PhD student in the Department of Digital Systems at the University of
Piraeus. He has acquired his B.Sc. from the same department as well as he holds a master's degree
in “Artificial Intelligence” from NCSR Demokritos and Department of Digital Systems.
George's research ambitiously explores the frontier of Human-Agent Collaboration, with a keen
focus on imitation learning, constraint satisfaction, and preference learning. His work delves into the
intricacies of Explainability within Deep Reinforcement Learning (DRL), highlighting his dedication to
enhancing transparency and understanding in complex AI systems. Additionally, George is deeply
invested in the study and development of Scalable and Collaborative DRL methods, aiming to
pioneer advancements in AI that facilitate more effective and intuitive human-AI interactions.