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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
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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

SM

May 6, 2023

Excellent course, with a very nice presentation style, both the professors are excellent in their presentations and the material is well researched and delivered. A very valuable course.

AM

Aug 23, 2020

Don't think it would be unreasonable to have more demanding coding assignments where all functions are made from scratch (though the function names and some comments might be provided as an outline.

筛选依据：

426 - Fundamentals of Reinforcement Learning 的 450 个评论（共 688 个）

创建者 Alejandro D

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Aug 11, 2019

Excellent! Great content and delivery quality.

创建者 Benjamin A

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Aug 15, 2019

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

创建者 Alexis O

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Apr 24, 2020

Quality course to learn the fundamentals...!

创建者 Raul D M

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Nov 13, 2019

One of the best courses I've had on Coursera

创建者 Ronak V

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Jan 21, 2023

Very good effort, worth buying the book too

创建者 Ram A

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May 1, 2022

Especially loved the hands on assignments!

创建者 Carl

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Dec 3, 2020

Solid course for laying foundations for RL

创建者 asphinjohn

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Oct 13, 2020

Had a clear idea of Reinforcement learning

创建者 Holakou R

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Dec 11, 2019

Fairly comprehensive. Easy/fast to follow.

创建者 Pachi C

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Nov 3, 2019

Fantastic course in the fundamentals of RL

创建者 Gösta F

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Sep 21, 2021

Nice balance between reading and lectures

创建者 Vahid G

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Jun 27, 2021

Fantastic Course! Thanks Martha and Adam!

创建者 Lei Z

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Oct 21, 2020

Get a lot useful knowledge, thanks a lot!

创建者 Anand A

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Nov 8, 2019

Really good course, and not for beginner.

创建者 Declan F

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Mar 3, 2025

Really love the course and the textbook!

创建者 Sandeep M

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Dec 6, 2024

Excellent content, teachers, motivation.

创建者 MD M R S

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Jan 1, 2021

Makes Sutton and Bartos book great again

创建者 Hennie d H

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Sep 10, 2019

Really nice and clear course, love it :)

创建者 Samuel R

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Aug 16, 2020

Requires medium/high programming skills

创建者 Manikant R

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Jul 26, 2020

Great course, instructors are too good!

创建者 汤皓玥

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May 26, 2020

Very Nice and Fundamental course in MDP

创建者 Huajie C

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Feb 20, 2023

A detailed course on the fundamentals.

创建者 Carlos E A C

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Nov 7, 2019

an excellent introductory course to RL

创建者 Po Y H

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Jun 15, 2020

Great course to learn RL fundamentals

创建者 Javier R

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Apr 22, 2020

Very good introduction to this field!