RL 2023 — различия между версиями

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* O<sub>Final</sub> = 0.6*O<sub>HW</sub> + 0.4*O<sub>Project</sub>
 
* O<sub>Final</sub> = 0.6*O<sub>HW</sub> + 0.4*O<sub>Project</sub>
 
with the usual (arithmetical) rounding rule.
 
with the usual (arithmetical) rounding rule.
 
[https://docs.google.com/spreadsheets/d/1MPWVIkgxyotHU-P5cE7Gik4C6RTWxTnAVK8Btl7Fw3Y/edit?usp=sharing '''Table with grades''']
 
  
 
== Course materials ==
 
== Course materials ==

Версия 12:34, 13 ноября 2023

Lecturers and Seminarists

Lecturer Alexey Naumov [anaumov@hse.ru] T924
Seminarist Sergey Samsonov [svsamsonov@hse.ru] T926

About the course

This page contains materials for Mathematical Foundations of Reinforcement learning course in 2022/2023 year, optional one for 2nd year Master students of the Math of Machine Learning program (HSE and Skoltech).

Grading

The final grade consists of 2 components (each is non-negative real number from 0 to 10, without any intermediate rounding) :

  • OHW for the hometasks
  • OProject for the course project

The formula for the final grade is

  • OFinal = 0.6*OHW + 0.4*OProject

with the usual (arithmetical) rounding rule.

Course materials

Recommended literature

Homeworks

Projects