Module Catalogues

Reinforcement Learning

Module Title Reinforcement Learning
Module Level Level 4
Module Credits 5.00
Academic Year 2021/22
Semester SEM1

Aims and Fit of Module

To introduce the techniques and concept of reinforcement learning. To develop the necessary skills to carry out and report simple experiments of reinforcement learning.

Learning outcomes

A Understand recent advances in reinforcement learning.
B Develop various techniques of reinforcement learning.
C Design and implement reinforcement learning algorithms to achieve the specified objectives, e.g., on performance and cost.
D Formulate and define practical engineering problems and apply reinforcement learning to analyze and solve the problems.

Method of teaching and learning

This module will be delivered through a combination of formal lectures, supervised laboratory sessions and seminars. There are 3 lab reports that will be assigned across the semester.