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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
2,381 個評分
561 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.

HT

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 568 個)

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 B

2020年5月22日

Outstanding explanations and assignments. Very hands-on.

創建者 Da

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 Dindar Ö

2022年3月14日

Very easy to follow and well organized course material.

創建者 Mark H

2022年2月6日

T​he best place to learn reinforcement learning online!

創建者 Marcelo G P d L

2021年6月25日

This is a great introduction to Reinforcement Learning!

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 Ricardo P

2021年9月13日

Excellent introductory material. Very well explained.

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

創建者 Gyanendra D

2020年12月11日

Very good course if you follow along with the book.

創建者 Chirag M

2020年11月5日

Great course! A lot of good material and insights!

創建者 Jingxin X

2020年5月17日

Very helpful hands-on experience with the notebooks

創建者 Yue Z

2020年2月9日

Everything is good except the peer review question.

創建者 Tobias K

2021年9月24日

G​reat mixture of theory and the intuition behind!

創建者 Jaime C

2021年3月27日

Excellent, good combination of theory and practice

創建者 Mario A C S

2020年10月16日

Excellent course, great materials and explanations