Basics and Contact

  • Postal address:
    Technische Universität Berlin
    Faculty IV
    Institute of Software Engineering and Theoretical Computer Science
    Secr. MAR 4-3
    Marchstr. 23, 10587 Berlin
    Room 4.050
  • Studied subject:
    Bachelor: Applied Mathematics
    Master: Computational Neuroscience

Research

Research interests:

  • Machine learning
  • Computational neuroscience
  • Deep learning
  • Applied mathematics
  • Reinforcement learning

Projects:

  • 2015 “Feature extraction in the problem of EEG signal classification” Computing Centre, Moscow
  • 2015-2016 “Thematic model of major conference proceedings” Bachelor thesis, Computing Centre, Moscow
  • 2017 “Mouse gaze detection using convolutional networks” HiWi project in Muench lab, Center for Integrative Neuroscience, Tuebingen
  • 2017 “Incorporating constraints in image generation with deep neural networks” Lab rotation in Bethge lab, Center for Integrative Neuroscience, Tuebingen
  • 2017-2018 “Implementation and investigation of a state-of-the-art deep reinforcement learning approach” Lab rotation, Autonomous Motion Department, MPI for Intelligent Systems, Tuebingen
  • 2018-2019 “Deep reinforcement learning for resource-aware control” Master thesis, Intelligent Control Systems, MPI for Intelligent Systems, Stuttgart

Publications and conferences:

  • 2016 Zlatov O.S. Kuzmin A.A. Thematic model of major conference proceedings // Artificial intelligence and decision making 03/2016
  • 2018 O. Zlatov, S. Trimpe Investigation of Guided Policy Search for deep reinforcement learning // Second Max Planck ETH Workshop on Learning Control, ETH Zurich