Marko Tot

Marko Tot is a Visiting Professor at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research focuses on artificial intelligence, machine learning, and game theory, with notable work in game AI, Monte Carlo methods, and human-computer interaction. He explores topics such as trajectory optimization in 3D games, sparse reward environments, and player behavior prediction through camera analysis.

His recent publications emphasize innovative approaches to reinforcement learning and exploration strategies, particularly in challenging environments with limited reward signals. While no scientific awards are listed, his contributions highlight advancements in game development and algorithmic efficiency. Advising and grant details are not provided in available texts.