
Basics and Contact
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