Chevron Left
返回到 Fundamentals of Reinforcement Learning

學生對 阿尔伯塔大学 提供的 Fundamentals of Reinforcement Learning 的評價和反饋

4.8
1,641 個評分
414 條評論

課程概述

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....

熱門審閱

AT
2020年7月6日

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.

NH
2020年4月7日

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:

126 - Fundamentals of Reinforcement Learning 的 150 個評論(共 410 個)

創建者 İbrahim Y

2020年9月18日

The course gives basic ideas for introductory concepts for RL. This course is recommended for RL learners who would like to get some basic intuitions for RL.

創建者 FERNANDO L S

2020年4月26日

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

2019年9月1日

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

2019年8月6日

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

2020年7月1日

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

創建者 Li L

2020年8月11日

Awesome course! The concepts and basic ideas are made very clear through the videos and assignments. The programming assignments are also useful.

創建者 vishal s

2020年8月13日

Nice course for people who are beginning Reinforcement Learning ,as the course takes you slow and steady by strengthning your basic concepts

創建者 Rudi C

2020年5月31日

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

2019年7月31日

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

創建者 Dhar R

2020年10月23日

Excellent course. The concepts are quite abstract, so I expect to revisit them a few times again. Otherwise, it could all evaporate. Lol!

創建者 Lukas S

2019年12月23日

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

2020年5月22日

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

2020年2月15日

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 I

2019年8月19日

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

2020年7月13日

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

創建者 Suresh

2020年9月21日

Awesome introduction to Reinforcement Learning. The explanations are very precise and the complex concepts were easy to follow

創建者 DEVANSHU S

2020年9月8日

Beautifully explains concepts in an intuitive fashion, although the addition of proofs of convergence would have been great :)

創建者 Nikhil G

2019年11月25日

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

創建者 mammad m

2020年5月9日

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 Evrim A

2020年11月16日

The course content is superb. As a suggestion, some coding and problem-solving content (as videos) would be outstanding

創建者 Dylan R

2020年2月22日

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

2020年7月14日

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

創建者 AhmadrezaSheibanirad

2019年10月27日

This course is one of the great online course in Coursera which help people dig into reinforcement learning correctly.

創建者 Andis R

2020年2月15日

Thank you very much for putting effort in this one !!! I was looking for such a course for some time already, thanks.

創建者 Daniel R G

2020年5月22日

Genial curso, los temas dados son demasiado interesantes, a veces un poco dificiles de entender pero nada imposible.