Research group

Agent Systems and Reinforcement Learning

This lab aims to both advance the research in the areas of reinforcement learning and deep reinforcement learning, and to apply current state-of-the-art machine learning techniques to various applied problems.

This lab works actively with students from leading universities and is heavily involved with developing both online and offline courses to improve the level of education in the area of machine learning and data analysis.

Group Members

Daniel Kudenko
Aleksei Shpilman
Head of Research Lab/Group
Dmitry Ivanov
Mikita Sazanovich
Senior Researcher
Oleg Svidchenko
Senior Researcher
Farid Bagirov
Vladimir Egorov
Georgiy Pshihachev