My research is mostly on reinforcement learning, often from a theoretical perspective. But I am interested in other aspects of machine learning too. I also enjoy dealing with a challenging and novel application problem.
Here I provide a brief summary of my research interests (divided to two broad category of Theoretical Push and Application Pull) with pointers to some relevant publications, if there is any. Some papers might appear in more than one category. I may link to an extended version of a paper, if there was a severe page limitation for the official version. Earlier papers may not be cited if there is a more recent comprehensive paper. See Publications for an almost complete list.
- Reinforcement Learning
- Machine Learning
- Intersection of Control Engineering and Machine Learning [ACC2016]
- Interaction of Learning and Evolution [TEC2010]
- Large-scale Optimization