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Background Scientific interests Research The goal of my research is to develop techniques of automatic gathering of procedural and descriptive knowledge. I work in the field of machine learning, in particular reinforcement learning. The theoretical justification of algorithms I develop lays in control theory and probability theory. My work is mainly inspired by psychology (which is a kind of my hobby). However, in contrary to numerous research studies, I do not try to discover mechanisms that govern natural adaptation and perception. Instead, I develop methods that could be used by artificial intelligent entities. Currently I work on algorithms of reinforcement learning in continuous state/action spaces. I tailor them to be immediately applicable to control systems training. Others International patent application no. PCT/PL 01/00097, "Method for Determination of the Minimum Distance between Frequency Channels within Pre-selected Base Station Calls". After hours Psychology, psychological novels, spy novels, civilization, politics, hang gliding, extreme sports. Contact
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