CAS 726 / Robot Learning

3 unit(s)

This course provides an in-depth exploration of applications of machine learning to autonomous systems. The course will assume basic familiarity with modern supervised machine learning methods. The first part of the course will introduce the classical probabilisitic modelling approach to autonomous systems and robotics. In the second part of the course we will investigate particular applications of machine learning within the classical framework, focusing on perception and planning. In the final part of the course we will introduce the basics of reinforcement learning and investigate applications to autonomous systems.