Pavel Shvechikov

Postgraduate Student, Visiting Scholar:Faculty of Computer Science / Big Data and Information Retrieval School

Pavel Shvechikov has been at HSE since 2019.

Education

2015

Bachelor's in Information Systems and Technologies
Bauman Moscow State Technical University

Professional Interests

Deep Reinforcement Learning Bayesian inference Applied Statistics causal inference

Postgraduate Studies

2nd year of study
Approved topic of thesis: Application of Bayesian methods for meta-reinforcement learning
Academic Supervisor: Vetrov, Dmitry

Student Term / Thesis Papers

Bachelor
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

Full list of of student term / thesis papers

Courses (2018/2019)

Reinforcement Learning (Bachelor’s programme; Faculty of Computer Science; 4 year, 3 module)Rus
Past Courses

Courses (2016/2017)

Applied statistical data analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus

Mar

2018

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.