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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
2,047 個評分
514 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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326 - Fundamentals of Reinforcement Learning 的 350 個評論(共 512 個)

創建者 Sriram R

2019年8月24日

Well organized course. Good pedagogy. Well done!

創建者 Dongyu L

2021年5月20日

Very good and clear introduction of the course.

創建者 Shamuwel A A

2020年11月24日

Fantastic beginning to a a very exciting topic.

創建者 Đàm T T

2020年8月24日

perfect for who want to getting started with RL

創建者 Debadri B

2020年5月29日

Very good course for understanding basics of RL

創建者 Charles X

2021年6月19日

Very good one to get familiar with Q-learning.

創建者 Eduardo F d S

2020年7月26日

Good material and very well organized. Thanks!

創建者 Sandro M A T

2020年3月23日

Great introduction to Reinforcement Learning!!

創建者 Kyle W

2020年2月16日

I enjoy the programming assignments very much.

創建者 Alejandro D

2019年8月11日

Excellent! Great content and delivery quality.

創建者 Kyle N

2019年8月15日

great course!! thanks Adam, Martha and team!!

創建者 Alexis O

2020年4月24日

Quality course to learn the fundamentals...!

創建者 Raul D M

2019年11月13日

One of the best courses I've had on Coursera

創建者 Carl

2020年12月3日

Solid course for laying foundations for RL

創建者 asphinjohn

2020年10月13日

Had a clear idea of Reinforcement learning

創建者 Holakou R

2019年12月11日

Fairly comprehensive. Easy/fast to follow.

創建者 Pachi C

2019年11月3日

Fantastic course in the fundamentals of RL

創建者 Vahid G

2021年6月27日

Fantastic Course! Thanks Martha and Adam!

創建者 Lei Z

2020年10月21日

Get a lot useful knowledge, thanks a lot!

創建者 Abhijeet A

2019年11月8日

Really good course, and not for beginner.

創建者 MD M R S

2021年1月1日

Makes Sutton and Bartos book great again

創建者 Hennie d H

2019年9月10日

Really nice and clear course, love it :)

創建者 Samuel R

2020年8月17日

Requires medium/high programming skills

創建者 Manikant R

2020年7月26日

Great course, instructors are too good!

創建者 汤皓玥

2020年5月26日

Very Nice and Fundamental course in MDP