返回到 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....

Jul 07, 2020

An excellent introduction to Reinforcement Learning, accompanied by a well-organized & informative handbook. I definitely recommend this course to have a strong foundation in Reinforcement Learning.

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!

篩選依據：

創建者 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.

創建者 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.

創建者 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.

創建者 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.

創建者 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.

創建者 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.

創建者 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.

創建者 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.

創建者 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.

創建者 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.

創建者 FERNANDO L S

•Apr 27, 2020

Extraordinary material. Good examples and exercises. Works very well if you take the lessons together with reading the book. Congratulations on the course!

創建者 Shengjian C

•Sep 01, 2019

This is a very helpful courses to help me walk through the Reinforcement Learning book with different kind of practices. Looking forward to taking course2!

創建者 June X

•Aug 06, 2019

I love their way of teaching, they ask you to read, understand firstly, and then start to give a lecture about what it is, which helps a lot to understand.

創建者 刘旻星

•Jul 01, 2020

Getting through this course, i know about Reinforcement learning more systematically. And a solid foundamental knowledge is a beginning of success

創建者 Rudi C

•May 31, 2020

A great introduction to the field of RL. The referenced textbook is amazing and the implementation of the algorithms is fun and instructive!

創建者 braghadeesh

•Jul 31, 2019

Great course and awesome instructors. Wish this course should have been announced much earlier. Thanks for offering such a wonderful course.

創建者 Lukas S

•Dec 23, 2019

Very well structured, good examples, and helpful quizzes. I think (even) more programming assignments would make the course even better.

創建者 Kshitij B

•May 22, 2020

The basics are really introduced in a manner that one can easily build upon after reading the readings provided , enjoyed the course

創建者 Animesh

•Feb 15, 2020

I found this course very interesting. The basic concepts are explained very nicely. This course is great when a RL-noob like me : D

創建者 Mert İ

•Aug 19, 2019

The concepts are explained in a very simple manner. Reading book then watching videos helps a lot to understand the essential ideas.

創建者 Cesar A G

•Jul 13, 2020

Well structured and thought examples that expand the information on the textbook. The programming assignments are very well built.

創建者 Nikhil G

•Nov 25, 2019

Excellent course companion to the textbook, clarifies many of the vague topics and gives good tests to ensure understanding

創建者 mammad m

•May 09, 2020

This course was great, but I think it is not complete. I have to pass the other courses in this specialization for sure.

創建者 Dylan R

•Feb 22, 2020

Great course, reading the textbook was difficult at times, but the professors really helped me in understanding it all!

創建者 Chamakoora S R

•Jul 14, 2020

Not only this course was conceptually sound, it had inspirational sessions with researches who made big breakthroughs.