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学生对 阿尔伯塔大学 提供的 Fundamentals of Reinforcement Learning 的评价和反馈

4.8
2,357 个评分
559 条评论

课程概述

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....

热门审阅

AT

Jul 6, 2020

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.

HT

Apr 7, 2020

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!

筛选依据:

326 - Fundamentals of Reinforcement Learning 的 350 个评论(共 564 个)

创建者 Chanon K

Jun 28, 2020

A great course that really focusing on fundamentals of RL

创建者 Adarsh

May 16, 2020

very good course .

very well explained by Adam and Martha

创建者 Pradyumna M

Apr 3, 2020

Amazing course with optimum blend of theory and practice.

创建者 Oleksandr M

Oct 6, 2019

Great course! Good explanations, interesting assignments.

创建者 Garrett S

Aug 10, 2019

Explained in a very simple way, with helpful assignments.

创建者 Sergio B

May 22, 2020

Outstanding explanations and assignments. Very hands-on.

创建者 Da

Oct 30, 2019

Really interesting course based on Sutton and Burto book

创建者 Chang, W C

Oct 24, 2019

I like the concept are represented in visualization way.

创建者 Dindar Ö

Mar 14, 2022

Very easy to follow and well organized course material.

创建者 Mark H

Feb 6, 2022

T​he best place to learn reinforcement learning online!

创建者 Marcelo G P d L

Jun 25, 2021

This is a great introduction to Reinforcement Learning!

创建者 Ignacio O

Aug 22, 2019

Excellent beginners course of a very interesting topic!

创建者 Trevor M

Aug 28, 2019

Excellent material paired with excellent instruction.

创建者 Ricardo P

Sep 13, 2021

Excellent introductory material. Very well explained.

创建者 Salomon T

Jul 12, 2020

Great course, that gives a thorough foundation on RL!

创建者 Antonio P

Nov 11, 2019

Great introductional course on Reinforcement Learning

创建者 Gyanendra D

Dec 11, 2020

Very good course if you follow along with the book.

创建者 Chirag M

Nov 5, 2020

Great course! A lot of good material and insights!

创建者 Jingxin X

May 17, 2020

Very helpful hands-on experience with the notebooks

创建者 Yue Z

Feb 9, 2020

Everything is good except the peer review question.

创建者 Tobias K

Sep 24, 2021

G​reat mixture of theory and the intuition behind!

创建者 Jaime C

Mar 27, 2021

Excellent, good combination of theory and practice

创建者 Mario A C S

Oct 16, 2020

Excellent course, great materials and explanations

创建者 Mark P

May 19, 2020

Excellent intro. Well paced, clear videos. Thanks!

创建者 Arman K

Dec 31, 2021

T​his course was so helpful to me. Thank you all.