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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

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2,040 個評分
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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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301 - Fundamentals of Reinforcement Learning 的 325 個評論（共 509 個）

創建者 Pradyumna M

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2020年4月3日

Amazing course with optimum blend of theory and practice.

創建者 Oleksandr M

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2019年10月6日

Great course! Good explanations, interesting assignments.

創建者 Garrett S

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2019年8月10日

Explained in a very simple way, with helpful assignments.

創建者 Sergio B

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2020年5月22日

Outstanding explanations and assignments. Very hands-on.

創建者 David P

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2019年10月30日

Really interesting course based on Sutton and Burto book

創建者 Chang, W C

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2019年10月24日

I like the concept are represented in visualization way.

創建者 Marcelo G P d L

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2021年6月25日

This is a great introduction to Reinforcement Learning!

創建者 Ignacio O

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2019年8月22日

Excellent beginners course of a very interesting topic!

創建者 Trevor M

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2019年8月28日

Excellent material paired with excellent instruction.

創建者 Salomon T

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2020年7月12日

Great course, that gives a thorough foundation on RL!

創建者 Antonio P

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2019年11月11日

Great introductional course on Reinforcement Learning

創建者 Gyanendra D D

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2020年12月11日

Very good course if you follow along with the book.

創建者 Chirag M

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2020年11月5日

Great course! A lot of good material and insights!

創建者 Jingxin X

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2020年5月17日

Very helpful hands-on experience with the notebooks

創建者 Yue Z

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2020年2月9日

Everything is good except the peer review question.

創建者 Jaime C

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2021年3月27日

Excellent, good combination of theory and practice

創建者 Mario A C S

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2020年10月16日

Excellent course, great materials and explanations

創建者 Mark P

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2020年5月19日

Excellent intro. Well paced, clear videos. Thanks!

創建者 Pratyush M

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2020年6月15日

some more practical implementation can be better.

創建者 Maria D

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2020年5月23日

Challenging but helpful, awesome practical tasks!

創建者 Deleted A

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2019年9月6日

Builds a good foundation of basic concepts of RL.

創建者 Marco G

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2021年1月7日

clearly explained, nice textbook, good exercises

創建者 Sriram R

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2019年8月24日

Well organized course. Good pedagogy. Well done!

創建者 Dongyu L

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2021年5月20日

Very good and clear introduction of the course.

創建者 Shamuwel A A

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2020年11月24日

Fantastic beginning to a a very exciting topic.

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