Question 1

Why should I enroll?

Accepted Answer

The demand for engineers with reinforcement learning and deep learning skills far exceeds the number of engineers with these skills. This program offers a unique opportunity for you to develop these in-demand skills. You’ll implement several deep reinforcement learning algorithms using a combination of Python and deep learning libraries that will serve as portfolio pieces to demonstrate the skills you’ve acquired. As interest and investment in this space continues to increase, you’ll be ideally positioned to emerge as a leader in this groundbreaking field.

Question 2

What jobs will this program prepare me for?

Accepted Answer

This program is designed to build on your existing skills in machine learning and deep learning. As such, it doesn't prepare you for a specific job, but instead expands your skills in the deep reinforcement learning domain. These skills can be applied to various applications such as gaming, robotics, recommendation systems, autonomous vehicles, financial trading, and more.

Question 3

How do I know if this program is right for me?

Accepted Answer

This program offers an ideal path into the world of deep reinforcement learning—a transformational technology that is reshaping our future, and driving amazing new innovations in Artificial Intelligence. If you're interested in applying AI to fields such as gaming, robotics, autonomous systems, and financial trading, this is the perfect way to get started.

Question 4

Do I need to apply? What are the admission criteria?

Accepted Answer

No. This Nanodegree program accepts all applicants regardless of experience and specific background.

Question 5

What are the prerequisites for enrollment?

Accepted Answer

We recommend that you complete a course in Deep Learning equivalent to the Deep Learning Nanodegree program prior to entering the program. You will need to be able to communicate fluently and professionally in written and spoken English.Additionally, you should have the following knowledge:Intermediate Python programming knowledge, including:
 Strings, numbers, and variables
   Statements, operators, and expressions
   Lists, tuples, and dictionaries
   Conditions, loops
   Generators & comprehensions
   Procedures, objects, modules, and libraries
   Troubleshooting and debugging
   Research & documentation
   Problem solving
   Algorithms and data structuresBasic shell scripting:Run programs from a command lineDebug error messages and feedbackSet environment variablesEstablish remote connectionsBasic statistical knowledge, including:Populations, samplesMean, median, modeStandard errorVariation, standard deviationsNormal distributionIntermediate differential calculus and linear algebra, including:Derivatives & IntegralsSeries expansionsMatrix operations through eigenvectors and eigenvalues

Question 6

If I do not meet the requirements to enroll, what should I do?

Accepted Answer

We have a number of Nanodegree programs and free courses that can help you prepare, including:Intro to Machine LearningArtificial Intelligence Programming with Python Nanodegree programMachine Learning Engineer Nanodegree program
Deep Learning Nanodegree program

Question 7

How is this Nanodegree program structured?

Accepted Answer

The Deep Reinforcement Learning Nanodegree program is comprised of content and curriculum to support three (3) projects. We estimate that students can complete the program in four (4) months working 10 hours per week.Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

Question 8

How long is this Nanodegree program?

Accepted Answer

Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.

Question 9

Can I switch my start date? Can I get a refund?

Accepted Answer

Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.

Question 10

What software and versions will I need in this program?

Accepted Answer

You will need a computer running a 64-bit operating system (most modern Windows, OS X, and Linux versions will work) with at least 8GB of RAM, along with administrator account permissions sufficient to install programs including Anaconda with Python 3.6 and supporting packages. Your network should allow secure connections to remote hosts (like SSH). We will provide you with instructions to install the required software packages.

Deep Reinforcement Learning Nanodegree Program

Course Report

Course Features

Course Description

Highlights

Parameters

Module 1: Foundations of Reinforcement Learning

Module 2: Value-Based Methods

Module 3: Policy-Based Methods

Module 4: Multi-Agent Reinforcement Learning

Course FAQs