🦖 Welcome!
This repository contains my solutions and supporting materials for the Yandex ML Training 4.0 (Fall 2025) program, a series of advanced lectures, seminars, and practical assignments dedicated to modern machine learning and computer vision.
Below you'll find an English summary of the schedule and topics, as well as useful links for reference. All my homework solutions are documented in this repo.
Sep 9, 19:00 — Lecture & Homework:
Fundamentals of Deep Learning and Computer Vision
Speaker: Viktor Yurchenko (MSU graduate, mobile robotics lead, SHAD lecturer)
Watch the stream
HW
Sep 11, 19:00 — Lecture:
Visual Information Analysis in Robotics. Detection Task
Speaker: Ivan Nasonov (MSU graduate, MIPT research lead, Girafe-AI lecturer)
Watch the stream
Sep 13, 13:00 — Seminar #1
Deadline for homework: Sep 21, 23:59 (MSK)
Speaker: Radoslav Neichev
Watch the stream
Sep 16, 19:00 — Lecture:
Introduction to Reinforcement Learning
Speaker: Radoslav Neichev
Watch the stream
Watch the stream
Sep 18, 19:00 — Lecture & Homework:
Q-learning, Deep Q-learning
Speaker: Ivan Nasonov
Watch the stream
HW
Sep 22, 19:00 — Seminar #2
Deadline for homework: Sep 28, 23:59 (MSK)
Speaker: Radoslav Neichev
Watch the stream
Sep 23, 19:00 — Lecture & Homework:
Modern RL Methods: Advantage Actor Critic, RLHF
Speaker: Radoslav Neichev
Watch the stream
HW
Sep 25, 19:00 — Seminar #3
Speaker: Ivan Nasonov
Watch the stream
Sep 30, 19:00 — Lecture:
Generative Transformers for Motion Planning
Speaker: Egor Volkov (MIPT, SHAD lecturer, motion planning pre-train models)
Watch the stream
Oct 2, 19:00 — Lecture:
Robot Localization Task
Speaker: Viktor Yurchenko
Watch the stream
All my solutions to the homework assignments for Yandex ML Training 4.0 are included and organized by topic or week in this repository.