Reinforcement Learning

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Below are the top discussions from Reddit that mention this online Coursera specialization from University of Alberta.

The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI).

Artificial Intelligence (AI) Machine Learning Reinforcement Learning Function Approximation Intelligent Systems

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Offered by
University of Alberta

Reddit Posts and Comments

1 posts • 21 mentions • top 19 shown below

r/reinforcementlearning • post
39 points • andnp
New Coursera specialization on RL

There is a new Coursera specialization on the fundamentals of reinforcement learning.

The specialization is taught out of University of Alberta by Dr. Adam White and Dr. Martha White, with guest lectures from many well known researchers and practitioners in the field. The specialization follows the Sutton Barto textbook from chapter 2 to 13 (give or take a few sections).

Right now, the first course is available. It goes from Bandits to Dynamic Programming and sets a foundation for more advanced topics in the field.


Anyways, go sign up and tell your friends :)

r/MachineLearning • post
77 points • RichardSSutton
What is the best way to learn about Reinforcement Learning?

The best way to learn is with the online Reinforcement Learning specialization from Coursera and the University of Alberta. The two instructors, Martha and Adam White, are good colleagues of mine and did an excellent job creating this series of short courses last year. Also working to these course's advantage is that they are based on the second edition of Andy Barto's and my textbook Reinforcement Learning: An Introduction.

You can earn credit for the course or you can audit it for free (use the little audit link at the bottom of the Coursera form that invites you to "Start free trial"). Try signing up directly with coursera.org, then go here: https://www.coursera.org/specializations/reinforcement-learning

The RL textbook is available for free at http://www.incompleteideas.net/book/the-book.html.

If you want to gain a deeper understanding of machine learning and its role in artificial intelligence, then a good grasp of the fundamentals of reinforcement learning is essential. The first course of the reinforcement learning specialization begins today, June 14, so it is a great day to start learning about reinforcement learning!

r/OMSCS • post
18 points • nyck33
RL specialization by U of Alberta (Richard Sutton) now on Coursera

Can only audit the first course in specialization because the other three are not on Coursera yet. But this should help I am guessing for those like me who had trouble reading the book. Also, a repo of code for the book I forked: Sutton book code

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Here is the course link: U of A RL specialization

r/learnmachinelearning • comment
7 points • gokulprasadthekkel

Have you checked this one out?. It's there in my wishlist for a long time now šŸ˜…

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

r/MLQuestions • post
5 points • TheBlonic
Thoughts on the RL coursera specialization by University of Alberta?

I heard about this course this morning and it looks like it could be good since Iā€™m looking to learn RL. Has anyone taken it or have any opinions on it?

r/learnmachinelearning • post
5 points • neckturtles
New Reinforcement Learning Specialization on coursera
r/uAlberta • comment
1 points • saadmani

https://www.coursera.org/specializations/reinforcement-learning?action=enroll

^this one?

r/reinforcementlearning • comment
1 points • Meepinator

There's a reinforcement learning specialization from the University of Alberta on Coursera. It's the university where Sutton's at and follows the book pretty closely. :)

r/reinforcementlearning • comment
1 points • RLnobish

you can also check the coursera for reinforcement learning specialization course. They cover this book thoroughly.

r/learnmachinelearning • comment
1 points • PsyRex2011

https://www.coursera.org/specializations/reinforcement-learning courses in this specialization and Sutton Barto's book is the way to go.

r/MLQuestions • comment
1 points • nuclear_pl

I would recommend the Coursera course on RL. The tutorial was supported by several coding exercises where you have to implement different agents. By googling "Coursera RL GitHub," you can find the solutions. However, I highly recommend the entire course.

r/learnmachinelearning • comment
1 points • camlinke

Coursera has a reinforcement learning specialization that follows Rich Sutton's textbook. It starts from the very beginning and develops out more advanced concepts building on each other.

https://www.coursera.org/specializations/reinforcement-learning?

(full disclosure I helped with the course)

r/learnmachinelearning • comment
1 points • nobgamer

hello , i know one but i have no idea how good it is ( still didnt start in it, still in CNN )

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

r/reinforcementlearning • comment
1 points • abrasivestepfather

I wouldn't say its hard but it definitely can take some time for it to click, or at least that was my experience. I would suggest Martha and Adams coursera course https://www.coursera.org/specializations/reinforcement-learning it goes over the first part of the book (plus a bit on function approximation) and provides another way to think about the problems. It is also used for the undergrad RL course at the u of a now. For the second part of the book I don't know of any online resources.

r/reinforcementlearning • post
9 points • Avistian
Which RL course should I choose?

Hi!

Which set of courses would be the best option to learn RL and deep RL:

Option 1:

- Stanford's CS234 https://web.stanford.edu/class/cs234/

- And then followed up by Berkeley's Deep RL http://rail.eecs.berkeley.edu/deeprlcourse/

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Option 2:

- University of Alberta RL course: https://www.coursera.org/specializations/reinforcement-learning

- And then followed up by Berkeley's Deep RL http://rail.eecs.berkeley.edu/deeprlcourse/

​

Option 3:

- MIT Professional course on RL: https://professionalonline1.mit.edu/reinforcement-learning

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Which one you would choose and why? Price for course is not a problem for me, only value of the content matters for me. Thanks in advance.

r/reinforcementlearning • comment
1 points • dnk8n

It's really nice going through the text book in parallel to this - https://www.coursera.org/specializations/reinforcement-learning

I am just auditing the course for now (making my way through resources I have found, eg, https://drive.google.com/drive/folders/0B3w765rOKuKANmxNbXdwaE1YU1k and https://drive.google.com/drive/folders/0B3w765rOKuKAMG9lbmRacFdsLWM) but I think I will unlock the assignments when I have more employment!

r/OMSA • comment
1 points • AlwaysBeTextin

From a financial standpoint, it probably isn't worth paying for a couple of extra courses and delaying getting a job for another semester. Maybe you'll use some of these topics in your career, maybe not, but by that logic you should take every single course offered just to be safe. IMO it's more important to show you're capable of learning (which the degree indicates) than it is that you're already familiar with specific concepts.

Personally, I'd advise to hurry up and get the diploma which will open up doors and make your resume better, start earning a salary and climbing up the career ladder earlier. If there are any topics that interest you, you can try auditing the courses later or find other MOOCs that teach these topics. For instance, here are MOOCs I quickly found for [HDDA],(https://online-learning.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis?delta=1) optimization, and reinforcement learning.

r/Python • comment
1 points • zhangzhuyan

for those who wants to really get into the coding and theory:

https://www.coursera.org/specializations/reinforcement-learning comprehensive and understandable

https://github.com/dennybritz/reinforcement-learning after learning about the theory, there u can learnt the code and different algorithm

here is the classic and famous videos, but i personally will get lost easily.

https://www.youtube.com/watch?v=2pWv7GOvuf0&list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ