Embedded Control System for Calibrating Gas Analysers

This Thesis report will discuss the development of embedded control systems for process control (in this case for the calibration of a gas analyser). The main research question being: Which control algorithm will be able to achieve the most optimal calibration procedure? A calibration bench which will be used to create a specific condition (gas...

Reinforcement Learning Across Timescales

This project addresses a fundamental problem faced by many reinforcement learning agents. Commonly used reinforcement learning agents can be seen to have deteriorating performances at increasing frequencies, as they are unable to correctly learn the ordering of expected returns for actions that are applied. We call this the disappearing...