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Reinforcement Learning

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Reinforcement Learning Preview this course
In this course, you will be introduced to Reinforcement Learning, an area of Machine Learning. You will learn the Markov Decision Processes, Bandit Algorithms, Dynamic Programming, and Temporal Difference (TD) methods. You will be introduced to Value function, Bellman Equation, and Value iteration. You will also learn Policy Gradient methods. You will learn to make decisions in uncertain environment.
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Why should you take Reinforcement Learning?

Tractica predicts annual global AI software revenue will grow from $10.1B in 2018 to $126.0B by 2025, achieving a CAGR of 43.41%.
The average salary for a Machine Learning Engineer is $1,18,452 – Glassdoor.co
Machine Learning Engineers rank among the top emerging jobs on LinkedIn

Online self paced classes

Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

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LIVE ONLINE CLASSES

Learn Artificial Intelligence Live Online from top industry professionals

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Interactions with an Live Expert, get your doubts cleared in Real Time.

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Access to World Class Instructors, from anywhere

Personal Learning Manager

Your guide from Edureka, to ensure you achieve your learning goals.

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Live course assures 6 times more probability of getting certified

Curriculum

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Certification

Edureka’s Reinforcement Learning Certificate Holders work at 1000s of companies like

Testimonial Reviews

Sudhiranjan SarmaAnalytics and Information management, Cognizant
My experience with edureka about Python is much impressed, with such quality of the training. We get ... Read More
Dheerendra YadavProject Lead at HCL Technologies, Ghaziabad, Uttar Pradesh, India
Earlier I had taken training in different technologies from other institutes and companies but no do ... Read More
Tejinder SinghPGDCA, MSc(IT), MCA, M-tech(IT), Phd(CS)*, Lecturer, Baba Farid College, Punjab
There is a plethora of online training material available for Android; the reason I chose Edureka is ... Read More
GopinathSAP Architect Consultant, IBM India Pvt Ltd, Bengaluru, Karnataka, India
I attended the demo session without any intention of joining a course. But the demo class was so imp ... Read More
Muralidhar GaddamDevOps Professional, Project/Program Management Corporate Trainer
I got full value from Edureka's DevOps course. I had to come out of my comfort zone as I was expecti ... Read More
Gnana Sekhar VangaraTechnology Lead at WellsFargo.com
Edureka Data science course provided me a very good mixture of theoretical and practical training. T ... Read More

Projects

Features

Self-Paced Learning

You will undergo self-paced learning where you will get an in-depth knowledge of various concepts that will be covered in the course.

Real-life Case Studies

Project based on any of the selected use cases, involving implementation of the various Reinforcement Learning concepts.

Assignments

Each class will be followed by practical assignments.

Lifetime Access

You will get lifetime access to LMS where presentations, quizzes, installation guides & class recordings are available.

Certification

Towards the end of the course, Edureka certifies you as a Reinforcemnt Learning Professional based on the project you submit.

Forum

We have a community forum for our learners that further facilitates learning through peer interaction and knowledge sharing.

FAQ

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