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

4.8
2,043 個評分
512 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....

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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!

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451 - Fundamentals of Reinforcement Learning 的 475 個評論(共 511 個)

創建者 Nathaniel W

2020年8月25日

The instructions on how to translate equations to code could have either had examples in the presentations or in the jupyter notebooks. Overall an excellent course.

創建者 David S

2019年9月27日

It will be good to include more detailed examples and more practice exercices in week 2 and 3. Also to repair the week 4 submission.

Although, It is a good course.

創建者 Muhammed A Ç

2021年7月15日

Without reading the recommended book, course material would not be sufficient. Coding exercises quite good and also quizzes' are suitable for beginner level

創建者 Naresh T

2020年3月28日

Good understanding of the fundamentals and aptly paced. The programming assignments were very good if there were more like that the course could get better

創建者 aysegul

2021年6月9日

It brings general understanding. The main focus is reading the book. Assignments are about the introduction, help to understand, but they can be improved.

創建者 Romesh M P

2020年5月21日

I really enjoyed the course, especially the guest segments (I got to know important people from that). Presenters did a good job but can be more relaxed.

創建者 Jo K

2021年1月29日

Very good introductory course for reinforcement learning. Good coding assignment, but could add more visual representation to understand the transition.

創建者 Marcello M

2020年8月13日

Very good theoretical contents, pretty much in line with the textbook - practical coding parts are mostly exercises of conversion of equations into code

創建者 Mahmmoud M

2019年9月29日

However, Missing the lectures of slide, the supported book is very good. The lectures are very simple and one can finish fast.

Thanks for teaching team.

創建者 Prakhar J

2020年8月28日

The content was very well organized, but applications could have been better understood using more complex numerical algorithms and more assignments.

創建者 krishna c

2020年12月31日

The guest lecture on truck fleet management was not great, the teacher tried to cover lot more material in a short time in the video then possible.

創建者 Ramakrishnan.K

2020年6月21日

The fundamentals of Bandits and MDPs are well covered. A major plus is the way we are made to read the text book before attending the lectures.

創建者 Slav K

2021年1月4日

A solid start with theoretical fundament. Assignment 2 was too cumbersome, lacking the description of actions encoded in the assignment.

創建者 Petru R

2021年1月20日

More Python examples are needed throughout the lessons.

Not only at the final. No proper introduction to DL Python library is given.

創建者 NEHUL B

2020年9月9日

I was hoping for a bit more practical application too, but this course does a solid job at teaching you the theory thoroughly.

創建者 Matthew C

2019年8月24日

Auto-grading of programming exercises did not work that well, but other than that, it was very instructive and well presented.

創建者 Muhammad U S

2020年10月11日

Highly recommended for the beginners. If you are new to RL then this course is the best along with Sutton and Barto Book.

創建者 Matthew W

2021年7月17日

pretty good course for RL basics, not as in depth as the book and programming assignments were too easy, but good intro

創建者 parham M

2020年7月6日

there is so many great fundamental stuff here, with deep theoric background, but it lacks some practical approach

創建者 Christopher B C

2019年9月8日

I thought the lectures were informative, but the pacing could have been a bit faster to get through more content.

創建者 Rafael V M

2020年7月15日

Excellent course, with several practical examples of the theory being explained. I found week 3 a little dense.

創建者 Balsher S

2020年7月10日

Week 3 should be improved a bit. It is a bit confusing to understand. Btw Great course. Keep the good work up.

創建者 Sharmili S

2020年4月15日

Quizzes and assignments are a bit challenging. It might be easier if questions are better elucidated.

創建者 Arthur

2020年11月24日

Great course, yet a bit superficial. If you want to understand details, you have grind on your own.

創建者 Aze A

2020年12月10日

I enjoyed the course, especially week 3 and week 4 materials. I would have like more examples.