Pavel Osinenko, an Associate Professor and the Head of the AIDA research group, Skoltech Center for Digital Engineering, obtained the degree of a habilitated doctor ("doctor habilitatus") in Germany at the Chemnitz University of Technology.

His dissertation topic is:

Reinforcement Learning with Guarantees.

Lead reviewers of the work were: professor Stefan Streif of the Technical University of Chemnitz (Scopus h:20), professor Daniel Görges of the University of Kaiserslautern-Landau (Scopus h:22), professor Timm Faulwasser of the Technical University of Hamburg (Scopus h:29). The chairman of the dissertation committee was professor Klaus Mößner of the Technical University of Chemnitz (Scopus h:37).

Pavel Osinenko, Associate Professor and the Head of the AIDA research group (Skoltech Center for Digital Engineering)

"This dissertation summarizes my scientific work originating from 2015, focusing on reinforcement learning and subjects that surrounded it. Three major research tracks are featured in this dissertation: - Lyapunov-based reinforcement learning with guarantees with its apex approach called CALF ('Critic as Lyapunov Function'). - Predictive reinforcement learning with guarantees, so-called 'stacked reinforcement earning'. - Novel approaches to formal control system analysis, whose tools were widely employed the above two in their evolution. Whereas each track comprises multiple research papers produces throughout the years, for brevity and ease of technical exposition, only CALF is detailed in this dissertation, with only a brief account of stacked reinforcement learning."

Link to thesis

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