Reinforcement Learning Explained Training

Live Online & Classroom Enterprise Training

Learn how to use Reinforcement Learning techniques to create practical Artificial Intelligence programs!

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What is Reinforcement Learning Explained Course about?

In this course, you will be introduced to reinforcement learning. You will learn how to frame reinforcement learning problems and start tackling classic examples like news recommendations, learning to navigate in a grid world, and balancing a cart pole.

You will explore the basic algorithms from multi-armed bandits, dynamic programming, TD (temporal difference) learning, and progress towards larger state space using function approximation, using deep understanding. You will also learn about algorithms that focus on searching for the best policy with policy gradient and actor-critic methods. Along the way, you will get introduced to Project Malmo, a platform for Artificial Intelligence experimentation and research built on top of the Minecraft game.

What are the objectives of Reinforcement Learning Explained Course ?

Reinforcement Learning Problem
Markov Decision Process
Bandits
Dynamic Programming
Temporal Difference Learning
Approximate Solution Methods
Policy Gradient and Actor-Critic
RL that Works

Who is Reinforcement Learning Explained Course for?

Developers who want to get a job in Machine Learning.
Data scientists/analysts and ML practitioners seeking to expand their breadth of knowledge.
Robotics students and researchers.
Engineering students and researchers.

What are the prerequisites for Reinforcement Learning Explained Course?

None

Available Training Modes

Live Online Training

45 Hours

Self-Paced Training

45 Hours

Course Outline Expand All

Expand All

Module 1: Applications of Reinforcement Learning

 Module 2: Introduction to Reinforcement Learning

 Module 3: Bandits 

 Module 4: The Reinforcement Learning Problem

 Module 5: Dynamic Programming

 Module 6: Temporal Difference Learning

 Module 7: Function Approximation

 Module 8: Policy Gradient and Actor Critic

Who is the instructor for this training?

The trainer for this Reinforcement Learning Explained Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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