Practical Reinforcement Learning

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Below are the top discussions from Reddit that mention this online Coursera course from HSE University.

Offered by HSE University. Welcome to the Reinforcement Learning online course. Here you will find out about: - foundations of RL ... Enroll for free.

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Taught by
Pavel Shvechikov
Researcher at HSE and Sberbank AI Lab
and 1 more instructor

Offered by
HSE University

Reddit Posts and Comments

1 posts • 10 mentions • top 9 shown below

r/reinforcementlearning • post
8 points • zkid18
Practical Reinforcement Learning on Coursera by Yandex and Higher School Of Economics (Russia) Probably the first deep course about RL on Coursera.
r/deeplearning • comment
2 points • Laboratory_one

I’m taking this one right now from Coursera: Practical RL

I like the assignments but the videos dont cover go deep enough into theory for me. I’d still recommend it.

r/MachineLearning • post
23 points • AerysSk
[D] A good RL course/book?

I want to start learning RL. I have good knowledge about ML/DL, but RL is completely new to me. I want to build a RL model for an application. Since I know about ML/DL, I also know about Prob/Stats/Optimization, but only as a CS student. I come up with some courses:

CS234: CS234: Reinforcement Learning Winter 2021 (stanford.edu)

DeepMind (Hado Van Hasselt): Reinforcement Learning 1: Introduction to Reinforcement Learning - YouTube

Another DeepMind (David Silver): RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning - YouTube

UofA Coursera: https://www.coursera.org/specializations/reinforcement-learning

CS285: http://rail.eecs.berkeley.edu/deeprlcourse/

HSE Coursera: Practical Reinforcement Learning | Coursera

Due to limited time, I can only learn one course, but after that I can visit another one. What course should I start? There should be assignments too so that I can implement the code.

Extra: I also find some books about RL.

- Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning series): Sutton, Richard S., Barto, Andrew G.: 9780262039246: Amazon.com: Books

- Reinforcement Learning: Industrial Applications of Intelligent Agents: D., Phil Winder Ph.: 9781098114831: Amazon.com: Books

- Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more, 2nd Edition: Lapan, Maxim: 9781838826994: Amazon.com: Books

If you can pick one, what will you pick?

r/MLQuestions • comment
3 points • _harias_

You don't need a math PhD to get the math in Sutton and Barto. Also, check out Practical RL and Spinning Up in Deep RL

r/reinforcementlearning • comment
1 points • youknowyouareright

The best one I did was this: https://www.coursera.org/learn/practical-rl

Starts from the bottom, very practical oriented, with great exercises.

r/reinforcementlearning • comment
1 points • last_useful_man

Well... there are cheap 'get started' books on amazon. Also, Coursera has a course in Practical Reinforcement Learning (https://www.coursera.org/learn/practical-rl). It is practical - thanks to OpenAI's reinforcement learning gym it's easy to get something going - but it also has some theory, and explains the various forms. That's probably the most engaging AND systematic way to learn. But Coursera is $50 / month, for however long it takes you to get through. They may have a plan for students or other people of limited means.

r/Gloomhaven • comment
1 points • OptimizedLion

Data Scientist here, but rather new with Reinforcement Learning (played a bit with Atari games via Gym and the Practical Reinforcement Learning course from HSE - https://www.coursera.org/learn/practical-rl ). If you want to collaborate on the project, I'll be more than happy to help.

r/reinforcementlearning • comment
1 points • emadboctor

If you're looking to learn theory only and you're not interested in real world stuff, you may ignore my comment. Most probably I will get downvoted for this, there are no good sources for learning RL I tried every course out there including and not limited to:

All of these courses will keep torturing you with cryptic mathematical formulas that unless you're interested in learning the mathematical foundations, are a waste of time to understand. You don't learn how to drive a car by learning how he expanding combustion gases push the piston, both are 2 completely different things. My advice is learn on a need-basis, look for whatever is necessary to solve the problem at hand and learn how it's done (if the problem requires the use of RL) otherwise, wait for Andrew NG to create a DRL course which I'm sure you don't want to miss.