Our group focuses on reinforcement learning, deep learning, nonlinear system identification, state estimation, and data analysis. We develop evolutionary and hybrid algorithms to solve complex optimization problems. Applications of our methods range from robotics to dialogue systems.
Research topics:
- deep learning for visual navigation in robotics and for dialog systems
- symbolic regression for modeling
- reinforcement learning and optimal control
- analysis and visualization of big data
Projects: Robotics for Industry 4.0
Head of the group
Name: Robert Babuška
Email: robert.babuska@cvut.cz
PI: Robert Babuška
Researchers: Jiří Kubalík, Erik Derner, Jonáš Kulhánek, Jan Zahálka