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Вернуться к Fundamentals of Reinforcement Learning

Отзывы учащихся о курсе Fundamentals of Reinforcement Learning от партнера Альбертский университет

Оценки: 2,380
Рецензии: 561

О курсе

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....

Лучшие рецензии


6 июля 2020 г.

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.


7 апр. 2020 г.

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!

Фильтр по:

326–350 из 567 отзывов о курсе Fundamentals of Reinforcement Learning

автор: Qasid S

27 сент. 2020 г.

A well-organized introduction for Reinforcement Learning.

автор: Jicheng F

11 июля 2020 г.

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

автор: Chanon K

28 июня 2020 г.

A great course that really focusing on fundamentals of RL

автор: Adarsh

16 мая 2020 г.

very good course .

very well explained by Adam and Martha

автор: Pradyumna M

3 апр. 2020 г.

Amazing course with optimum blend of theory and practice.

автор: Oleksandr M

6 окт. 2019 г.

Great course! Good explanations, interesting assignments.

автор: Garrett S

10 авг. 2019 г.

Explained in a very simple way, with helpful assignments.

автор: Sergio B

22 мая 2020 г.

Outstanding explanations and assignments. Very hands-on.

автор: Da

30 окт. 2019 г.

Really interesting course based on Sutton and Burto book

автор: Chang, W C

24 окт. 2019 г.

I like the concept are represented in visualization way.

автор: Dindar Ö

14 мар. 2022 г.

Very easy to follow and well organized course material.

автор: Mark H

6 февр. 2022 г.

T​he best place to learn reinforcement learning online!

автор: Marcelo G P d L

25 июня 2021 г.

This is a great introduction to Reinforcement Learning!

автор: Ignacio O

22 авг. 2019 г.

Excellent beginners course of a very interesting topic!

автор: Trevor M

28 авг. 2019 г.

Excellent material paired with excellent instruction.

автор: Ricardo P

13 сент. 2021 г.

Excellent introductory material. Very well explained.

автор: Salomon T

12 июля 2020 г.

Great course, that gives a thorough foundation on RL!

автор: Antonio P

11 нояб. 2019 г.

Great introductional course on Reinforcement Learning

автор: Gyanendra D

11 дек. 2020 г.

Very good course if you follow along with the book.

автор: Chirag M

5 нояб. 2020 г.

Great course! A lot of good material and insights!

автор: Jingxin X

17 мая 2020 г.

Very helpful hands-on experience with the notebooks

автор: Yue Z

9 февр. 2020 г.

Everything is good except the peer review question.

автор: Tobias K

24 сент. 2021 г.

G​reat mixture of theory and the intuition behind!

автор: Jaime C

27 мар. 2021 г.

Excellent, good combination of theory and practice

автор: Mario A C S

16 окт. 2020 г.

Excellent course, great materials and explanations