Pavel Shvechikov
- Postgraduate Student:Faculty of Computer Science / Big Data and Information Retrieval School
Postgraduate Studies
3rd year of study
Approved topic of thesis: Application of Bayesian methods for meta-reinforcement learning
Academic Supervisor: Vetrov, Dmitry
Student Term / Thesis Papers
- Bachelor
V. Kalashnykov «Reinforcement Learning for Geometry Problems». Faculty of Computer Science, 2020
A. Fritsler «Program for Prediction of Partially Observable Process Dynamics». Faculty of Computer Science, 2019
M. Konobeev «Distributional and Entropy-Regularized Reinforcement Learning». Faculty of Computer Science, 2018
A. Klimkin «Goal-Based Reinforcement Learning via Experts Hints». Faculty of Computer Science, 2018
E. Vakhrameeva «Deep Exploration in Reinforcement Learning». Faculty of Computer Science, 2018
Courses (2019/2020)
- Reinforcement Learning (Bachelor’s programme; Faculty of Computer Science; 4 year, 3 module)Rus
- Reinforcement Learning (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Rus
‘My Time at HSE Was a Turning Point’
HSE master’s programme alumni and an HSE doctoral student received an international Catalyst Grant from Digital Science in support of the development of their startup, MLprior, a service for researchers and scientists. HSE News Service spoke with Vladislav Ishimtsev, one of the startup creators, about the biggest ‘thorns’ in researchers’ sides, artificial intelligence, and the possibility of a machine uprising.
Coursera Offers New Courses by HSE Lecturers
From late March and early April, HSE will offer four new coursers on Coursera on intercultural communication, machine learning, computer vision, and stochastic processes.
