Voltar para Fundamentals of Reinforcement Learning

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Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in interactive agents and intelligent decision-making.
This course introduces you to the fundamentals of Reinforcement Learning. When you finish this course, you will:
- Formalize problems as Markov Decision Processes
- Understand basic exploration methods and the exploration/exploitation tradeoff
- Understand value functions, as a general-purpose tool for optimal decision-making
- Know how to implement dynamic programming as an efficient solution approach to an industrial control problem
This course teaches you the key concepts of Reinforcement Learning, underlying classic and modern algorithms in RL. After completing this course, you will be able to start using RL for real problems, where you have or can specify the MDP.
This is the first course of the Reinforcement Learning Specialization....

Apr 08, 2020

This course is one of the best I've learned so far in coursera. The explanations are clear and concise enough. It took a while for me to understand Bellman equation but when I did, it felt amazing!

Nov 10, 2019

I understood all the necessary concepts of RL. I've been working on RL for some time now, but thanks to this course, now I have more basic knowledge about RL and can't wait to watch other courses

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por Shi Y

•Oct 04, 2019

许多次尝试看UCL或者Sutton的课都中途放弃，太难了。而这个课程让我很轻松的入门且了解了最基本的东西。这个课程最不同的在于，学习时要配合上Sutton的书，课程和书互为补充，有些课程没有讲清楚的地方书中有很多解释，而书中生涩难懂的地方课程又有很形象详细的解释。体验极佳。特别感谢课程助教即使的回复。哪怕是书中的句子的问题助教都给出很详细的解释，真的很久没在Coursera上过这么棒的课了。

por Zhonghua Q

•Sep 14, 2019

The course is well designed. It contains the essential material of RL and relates closely with the RL Bible textbook. And the programming assignment is also benifical to understanding the basics.

por Gagan J

•Apr 26, 2020

The concepts are explained in a simple and illustrative manner which helps in getting a better understanding of the concepts. The assignments and quizzes are also really well designed.

por Ravi D

•Apr 26, 2020

I was so confused about the fundamental concepts, but doing this course has given me a solid foundation of RL.

This is a must-do course if you are starting with Reinforcement Learning.

por Herman C

•Feb 19, 2020

Excellent and well done course on some of the basics of RL. Good mix of lectures, reading, quizzes and programming assignments. Also a good balance between pure theory and examples.

por nicole s

•Jan 02, 2020

Very well designed, it is clear that a lot of thought was put into the course. Also, I really liked the clarity regarding the learning objectives and the emphasis on understanding.

por Neil S

•Aug 04, 2019

The ideal course to go with the book Reinforcement Learning: An Introduction. The quizzes and coding workshops are pitched just right in my opinion, neither too easy nor too hard.

por sachin k

•Dec 10, 2019

A great introduction to RL. Credit goes to the instructors Mr and Mrs white for keep in it as simple as possible. Understanding the math behind RL is the key for the RL adventure.

por Austin S

•Jun 06, 2020

Pretty good intro to RL! I've taken an AI class in college, but this class really helped me understand RL in more detail, and helped me visualize how RL algorithms actually work.

por TAOSEEF I

•May 26, 2020

The instructors made the contents very easy to understand with some good real-world examples. The course is very effective for getting the fundamental knowledge in this domain.

por Peter L

•Aug 24, 2019

This is a nice course. I think for people with no background in RL the pace might be a little fast. A few more examples could help them understanding the concepts more easily.

por Gerard A C S

•Mar 07, 2020

The course was nice, easy to understand and intuitive. The professors taught the concepts very well and I really liked that they included guest lectures by other professors.

por Julien S

•Mar 15, 2020

Best course on basics of Reinforcement Learning so far. Clear explanations, relevant quizz and coding exercises to really understand what we are dealing with in this field.

por Ivan S F

•Aug 31, 2019

Very practical and learning-oriented. Providing the textbook in PDF is a big plus. I think there should be more programming exercises. Great course anyway. Worth taking it.

por André B

•Dec 01, 2019

I really enjoyed this course. The examples and the infrastructure provided (jupyter notebooks as assingments) made this course one of the best MOOCs that I have ever taken

por Christian R

•Apr 15, 2020

I had some exposure to RL before but this course really tied together many things I learned so far and I'm very much looking forward to the rest of this specialization.

por Matias A

•Feb 13, 2020

Great course in general. Very clear step-by-step explanations of the theory needed to understand, plus practical examples to be able to fully understand the concepts.

por Aditya S

•Apr 17, 2020

Great course, To be honest this course has made my concepts very clear, and I highly appreciate the way Martha ma'am and Adam sir taught. I really enjoyed the course.

por Aditya J

•Sep 16, 2019

Impressed by the knowledge of professors in the video and inspite of that they took so much interest in teaching minor concepts to students which are trivial to them.

por Gowtham.R

•Jan 26, 2020

Amazing course! This course goes through the fundamentals of RL covering both theory and practicals(through programming assignments). The book is also great to read.

por Qianbo Y

•Jan 08, 2020

A very good course integrated with Sutton and Barto textbook. A good foundation of RL can be learned from this class. It also balances well with theory and practice.

por Saikat M

•Aug 08, 2019

Good course following the classic book but it is kept at an easy pace for diverse people to be able to understand and apply the concepts of reinforcement learning.

por Yangjiong Z

•May 09, 2020

best reinforcement learning on the cousera so far! all the concepts are presented in a very clear manner and plenty examples provided to facilitate understanding.

por Max C

•Oct 24, 2019

Got me kickstarted with RL pretty well. I tried reading the RL book myself previously, but having complementary lectures and assignments made all the difference.

por Christian S

•Sep 02, 2019

great course; well explained and exercises reinforce the learnt material. also, great that this course uses Sutton's and Barto's book on reinforcement learning.

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