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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
2,040 個評分
511 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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176 - Fundamentals of Reinforcement Learning 的 200 個評論(共 509 個)

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 seyedmohammad 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 Mohamed R M F

2021年6月23日

it's my first time learn what is reinforcement learning and this course really helped me to get the fundamentals of it

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.

創建者 Bigyan K

2020年3月3日

Very well organized, and easy to follow with the RL book! Highly recommend this course in conjunction with the book.

創建者 Remo H

2021年1月31日

Good explanations and very nice exercises. If I could wish something it would be to have more programming examples.

創建者 Dinh-Son V

2020年7月17日

The presenters are amazing. Their voice are clear and charming and make you want to continue your journey into RL.

創建者 Korosh T

2021年5月22日

Fantastic course. I learned a lot. The teachers are really great and the programming assignments are very useful.

創建者 Mathew

2020年6月7日

Very well structured and a great compliment to the Reinforcement Learning (2nd Edition) book by Sutton and Barto.

創建者 Mengyong L

2020年8月1日

Pretty complex but really useful! I had to go through each video twice to get a good understanding of the topic

創建者 Prudhvinath R

2019年12月3日

Everything is explained in detail. The theory behind each logistic is clearly explained by both the Professors.

創建者 Ofir E

2020年3月20日

An amazing course! It really has a high level and follows a coursebook just as a good university course would.

創建者 seyed h m

2019年9月28日

To have the best performance in the course, read the related textbook sections at the beginning of each week.

創建者 Anmar

2020年4月15日

Simple and straight to the point. Great course for understanding the fundamentals of reinforcement learning.

創建者 Justin S

2019年10月6日

Great class! Learned a lot with two really fun and enthusiastic professors. Looking forward to the next one.

創建者 Ivan M

2020年7月11日

That is awesome! The most interesting area of knowledge & engineering, the top quality education material!

創建者 Selvaraj M

2020年4月25日

Very well organized and well thought videos, quiz and best of all coding assignment. Very impressive. A+++

創建者 Nosaybeh A P

2021年6月25日

best python course ever!!! I will use RL methods for my feature paper, Thanks Dear Coursera and Dr.White.