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Home Categories Machine Learning

Practical Reinforcement Learning faq

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4.2
learnersLearners: 39,500
instructor Instructor: / instructor-icon
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This course provides an introduction to the foundations of Reinforcement Learning (RL) methods, including value/policy iteration, q-learning, and policy gradient. Participants will gain an understanding of the fundamentals of RL and its applications. ▼▲

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

No Information

languageLanguage:

English

start dateStart Date:

Self Paced

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

(Please note this course detail is from the official platform)
About the University
Why should you care
Reinforcement learning vs all
Multi-armed bandit
Decision process & applications
Markov Decision Process
Crossentropy method
Approximate crossentropy method
More on approximate crossentropy method
Evolution strategies: core idea
Evolution strategies: math problems
Evolution strategies: log-derivative trick
Evolution strategies: duct tape
Blackbox optimization: drawbacks

Course Syllabus

Reward design

State and Action Value Functions

Measuring Policy Optimality

Policy: evaluation & improvement

Policy and value iteration

Course Provider

Provider Coursera's Stats at AZClass

Discussion and Reviews

0.0   (Based on 0 reviews)

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Quiz

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1. What is the core idea of Evolution Strategies?

2. What is the drawback of Blackbox optimization?

3. What is the purpose of Crossentropy method?

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faq FAQ for Machine Learning Courses

Q1: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q2: Can I take this course for free?

Yes, this is a free course offered by Coursera, please click the "go to class" button to access more details.

Q3: How many people have enrolled in this course?

So far, a total of 39500 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
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If you're looking for additional Machine Learning courses and certifications, our extensive collection at azclass.net will help you.

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