Background
2016 - DSc in Computer Science, Warsaw University of Technology, Faculty of Electronics and Information Technology.
2005 - PhD in Computer Science, Warsaw University of Technology, Institute of Control and Computational Engineering. In
my thesis I introduced a family Actor-Critic algorithms of Reinforcement Learning based on batch estimation.
2004 - MSc in Economics, Warsaw University, Faculty of Economics. In my thesis I analyzed an impact of shocks and institutions on labor market efficiency.
2001 - MSc in Computer Science, Warsaw University of Technology, Faculty of Electronics and Information Technology. The subject of my thesis was the problem of determining of the optimal policy. I combined classical methods, like Policy Iteration, and methods stemming from Artificial Intelligence.
Scientific interests
Artificial intelligence: reinforcement learning, machine learning, neural networks.
Automation: adaptive control, learning robots.
Cognitive science: Modeling of memory, consiousness, and perception.
Knowledge
Estimation, system identification, decision aiding systems, optimization, system analysis, modeling, C++, C#, .NET, Java, Python, as well as macroeconomics, labor market, economic policy.
Free time