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ロシア国立研究大学経済高等学院(National Research University Higher School of Economics) による Practical Reinforcement Learning の受講者のレビューおよびフィードバック

4.2
365件の評価
104件のレビュー

コースについて

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: coursera@hse.ru...

人気のレビュー

AK

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.

FZ

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.

フィルター:

Practical Reinforcement Learning: 101 - 104 / 104 レビュー

by 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.

by Raghu R

Mar 25, 2020

Course is good. But too many grader issues. Accent is tough to understand sometimes. The concept is not built layer wise..Instead they dump it as a heap with tough jargon which had to broken down to be understood slowly by pausing..

by Arun A

Feb 24, 2020

Instructors are difficult to understand. Assignment directions are not clear

by 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.