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Вернуться к Practical Reinforcement Learning

Отзывы учащихся о курсе Practical Reinforcement Learning от партнера Национальный исследовательский университет "Высшая школа экономики"

Оценки: 306
Рецензии: 82

О курсе

Welcome to the Reinforcement Learning course. Here you will find out about: - foundations of RL methods: value/policy iteration, q-learning, policy gradient, etc. --- with math & batteries included - using deep neural networks for RL tasks --- also known as "the hype train" - state of the art RL algorithms --- and how to apply duct tape to them for practical problems. - and, of course, teaching your neural network to play games --- because that's what everyone thinks RL is about. We'll also use it for seq2seq and contextual bandits. Jump in. It's gonna be fun! Do you have technical problems? Write to us:

Лучшие рецензии


May 28, 2019

This is one of the Best Course available on Reinforcement Learning. I have gone through various study material but the depth and practical knowledge given in the course is awesome.


Feb 14, 2019

A great course with very practical assignments to help you learn how to implement RL algorithms. But it also has some stupid quiz questions which makes you feel confusing.

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76–82 из 82 отзывов о курсе Practical Reinforcement Learning

автор: Anders A

Jun 13, 2018

The collection of curriculum was great together with links to external resources. However, there was several weaknesses with the course. First, several of the assignments had problems with submitting the code, which required some extra coding to be able to submit assignment. Event with multiple weeks with many students reporting the problem, nothing was corrected. Second, the lectures were weak. I knew something about Q-learning from before, but after the lecture I was more confused than when I started. The topics I were not familiar from before the course,I ended up searching online or using the resources linked to instead of the lectures. The question exercises felt arbitrary and not helpful at all. The programming exercises were not well explained. I were able to finish them, but to much unnecessary annoyance.

автор: Maxim B

Jul 26, 2018

Don't let Alexander Panin read lectures. He is an awful speaker: always in a hurry, uses so many redundant words in his speech. He "killed" so much interesting material in this course. I truly believe he could write cool lecture notes and handouts (currently the course lacks it). Alexander, please, write materials, don't read lectures.

автор: Simon V L

Oct 28, 2019

I've done about 14 courses on coursera and this was the worst. The teachers are so obsolete. They just rattle off a pre written text without any intonation. Instead of the videos it's easier to just read a book on reinforcement learning. I still gave it two stars because the programming exercises were interesting and usefull.

автор: Arun A

Feb 24, 2020

Instructors are difficult to understand. Assignment directions are not clear

автор: Antony L

Mar 12, 2019

Course not ready and has installation prerequisites. Seems to use a libraries (Docker, Env).

I waste too much of my time trying to install libraries and dependencies for online courses, most of which become obsolete within a year or two.

Additionally, the logic embedded within the library is often the thing I want to learn, and abstracting it only teaches me about the bugs and shortcomings of that library.

автор: Florian P

Jan 06, 2020

No structure in the lecutre, no lecture notes. The teachers are very hard to understand. The tests and programming assignments are bad explained and are different from what is taught in the lecture. Not worth the money.

автор: Alan P

Jul 30, 2018

The lecture guy is a terrible terrible speaker - please get someone decent