5th Floor, ISEC
- BS in Computer Science, Czech Technical University, Prague
- Hometown: Prague, Czech Republic
- Field of Study: Computer Science
- PhD Advisor: Robert Platt
What are the specifics of your graduate education (thus far)?
I am a PhD student doing research in machine learning and robotic manipulation.
What are your research interests in a bit more detail? Is your current academic/research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why?
I am interested in Reinforcement Learning, a framework for sequential decision making. Specifically, I study model-based learning and abstraction with the goal of making agents reason about high-level concepts and skills.
What’s one problem you’d like to solve with your research/work?
An important open question in machine learning and robotics is how to reuse what the robot has learned so far to solve new tasks faster. For instance, learning how to open doors is a useful skill when you want to navigate in a building. However, there are not many algorithms that can automatically collect and curate such skills throughout the life of the robot.
What aspect of what you do is most interesting/fascinating to you? What aspects of your research (findings, angles, problems you’re solving) might surprise others?
I like that my research draws on various subareas of machine learning as well as other fields–everything from optimal control to symbolic AI.
What are your research/career goals, going forward?
I would like to develop methods that can be applied to many different problems in robotics and other areas, instead of developing specialized algorithms. Beyond academic papers, I aim to share most of my work as open-source software.