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学生对 University of Alberta 提供的 Fundamentals of Reinforcement Learning 的评价和反馈

4.8
2,886 个评分

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

MN

Apr 11, 2024

The concepts may sound confusing in the beginning, but as you go forward you find it interesting and understanding. I suggest you completely read the reading assignments before watching the videos.

KS

Sep 1, 2019

All the concepts were well explained and this course was perhaps the best I have found for RL.Great efforts have been put into making the course and It goes well in line with the suggested textbook.

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376 - Fundamentals of Reinforcement Learning 的 400 个评论(共 688 个)

创建者 Marius L

Sep 5, 2019

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

创建者 Mr. D S J D P

Jun 5, 2020

I struggled in programming part , but a very efficient tool

创建者 Ruosen L

Apr 2, 2020

Spent tooooooo much time on reading materials than imagine.

创建者 Turgay P

Jul 27, 2020

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

创建者 alex x

May 21, 2020

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

创建者 Munib A L

Feb 5, 2024

It was a nice course on foundations of RL. Learned a lot.

创建者 Vincenzo C

Feb 16, 2022

Fantastic course. Reinforcement AI model are fascinating

创建者 Qasid S

Sep 27, 2020

A well-organized introduction for Reinforcement Learning.

创建者 Jicheng F

Jul 11, 2020

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

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 9, 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 David

Oct 30, 2019

Really interesting course based on Sutton and Burto book

创建者 WC 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

The 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 Stefano G

Mar 14, 2023

Very great course! Also the book suggested is amazing

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!