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
1,640 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:

226 - Fundamentals of Reinforcement Learning 的 250 個評論(共 410 個)

創建者 Francois L

2020年11月18日

Excellent, it makes the book so much more easy to understand!

創建者 Francesco M

2020年8月4日

Extremely good: a stellar course for beginners in this field!

創建者 Tanay G

2020年7月19日

Really liked the way material was presented and learned a lot

創建者 Anubhav T

2020年5月9日

Excellent course to get introduced to Reinforcement Learning

創建者 Hao J ( L

2020年5月4日

Awesome! Clear instruction with interesting coding example!

創建者 Joost G

2020年3月26日

Interesting lectures and good quizzes+programming exercises.

創建者 Marius L

2019年9月5日

Engaging, challenging, and the math was just doable. Thanks.

創建者 Mr. D S J D P

2020年6月5日

I struggled in programming part , but a very efficient tool

創建者 Ruosen L

2020年4月2日

Spent tooooooo much time on reading materials than imagine.

創建者 Turgay P

2020年7月27日

Great videos and an e-book to learn the fundamentals of RL

創建者 alex x

2020年5月21日

Very good course, hope there will be more course like this

創建者 Qasid S

2020年9月27日

A well-organized introduction for Reinforcement Learning.

創建者 Jicheng F

2020年7月11日

This is the best online course I've taken ever. Good job!

創建者 Chanon K

2020年6月28日

A great course that really focusing on fundamentals of RL

創建者 Adarsh

2020年5月16日

very good course .

very well explained by Adam and Martha

創建者 Pradyumna M

2020年4月3日

Amazing course with optimum blend of theory and practice.

創建者 Oleksandr M

2019年10月6日

Great course! Good explanations, interesting assignments.

創建者 Garrett S

2019年8月10日

Explained in a very simple way, with helpful assignments.

創建者 Sergio E B

2020年5月22日

Outstanding explanations and assignments. Very hands-on.

創建者 David P

2019年10月30日

Really interesting course based on Sutton and Burto book

創建者 Chang, W C

2019年10月24日

I like the concept are represented in visualization way.

創建者 Ignacio O

2019年8月22日

Excellent beginners course of a very interesting topic!

創建者 Trevor M

2019年8月28日

Excellent material paired with excellent instruction.

創建者 Salomon T

2020年7月12日

Great course, that gives a thorough foundation on RL!

創建者 Antonio P

2019年11月11日

Great introductional course on Reinforcement Learning