Csaba Szepesvári

Algorithms & Theory | Artificial Intelligence | Machine Learning | Reinforcement Learning

In working to make the most efficient use of data, Csaba develops smarter, more effective learning algorithms. He is particularly interested in enabling machines to make autonomous decisions in sequence while continuously interacting with, and learning from, their environments.

Csaba's research produces improvements to fundamental algorithms, which can be applied to a variety of computer systems to meet a number of challenges.