Reinforcement Learning

Reinforcement Learning

Reinforcement learning is one of the most exciting approaches to machine learning currently available to practitioners. You will examine examples of reinforcement learning in action and gain insight into the best context for the application and recognition of this approach.

Topics covered include

• Introduction to reinforcement learning
• Reinforcement features and ideas
• Problems suitable for reinforcement learning

By the end of the course, you‘ll be able to…

• Understand the fundamental ideas behind reinforcement learning
• Apply reinforcement learning approaches using publicly available resources.

This course is aimed at computing and engineering professionals who have an interest in the area of machine learning and wish to gain practical skills with sufficient theory to have a grasp of the principles behind the algorithms. This course assumes a knowledge of computer programming in Python, statistics, basic calculus and linear algebra.

Python.

This course is aimed at computing and engineering professionals who have an interest in the area of machine learning and wish to gain practical skills with sufficient theory to have a grasp of the principles behind the algorithms. This course assumes a knowledge of computer programming in Python, statistics, basic calculus and linear algebra.