Overview

From foundational concepts to advanced algorithms, this Deep Reinforcement Learning programme at Udacity equips you with the tools to build intelligent agents using Python, neural networks, and state-of-the-art RL frameworks across robotics, finance, and beyond.

Nanodegree Skills

Introduction to Deep Reinforcement Learning

Exploration-exploitation dilemma

Markov decision processes

Multi-armed bandit problems

Bellman equation

Policy-based reinforcement learning

Continuous functions

Value-based reinforcement learning

Monte carlo methods

Dynamic programming

Value-Based Methods

Value-based reinforcement learning

Prioritized experience replay

Deep q-networks

Double deep q-networks

Dueling deep q-networks

Policy-Based Methods

Stochastic policy gradients

Reinforce algorithm

Policy optimization algorithms

Evolutionary algorithms

Monte carlo policy gradients

Generalized advantage estimation

Multi-Agent Reinforcement Learning

Multi-agent training

Markov games

Alphazero

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Programme Structure

Courses include:

Value Based Methods

Policy-Based Methods

Multi-Agent Reinforcement Learning

Computing Resources

Neural Networks in PyTorch,

C++ Programming

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Key information

Duration

Part-time
- 4 days
- Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

Mountain View, United States

Disciplines

Artificial Intelligence Machine Learning View 240 other preparation in Artificial Intelligence in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Prior to enrolling, you should have the following knowledge:

Intermediate Python

Deep learning framework proficiency

Neural network basics

Object-oriented programming basics

Reinforcement learning fundamentals

You will also need to be able to communicate fluently and professionally in written and spoken English.

Make sure you meet all requirements

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Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

499 USD / full

≈ 499 USD / full
Out-of-State

499 USD / full

≈ 499 USD / full
Domestic

Applies to you

In-State

499 USD / full

≈ 499 USD / full

Additional Details

249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Master's scholarship opportunities for Deep Reinforcement Learning.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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About

Overview

Nanodegree Skills

Get more details

Programme Structure

Check out the full curriculum

Key information

Duration

Start dates & application deadlines

Language

Delivered

Campus Location

Disciplines

Explore more key information

What students do after studying

Academic requirements

English requirements

Other requirements

General requirements

Make sure you meet all requirements

Tuition Fees

International Applies to you

Domestic

Additional Details

Funding

Scholarships Information

Available Scholarships

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