Our upcoming masterclass will provide attendees with an understanding of the fundamentals of Reinforcement Learning and the tools to apply it to a variety of areas – anything from controlling a cement factory to car air-conditioning systems.
Held by Prof. James Brusey at Coventry University, we will begin with the theoretical underpinnings, including Markov Decision Processes, and the key algorithms, such as Policy Iteration.
Reinforcement Learning is a hot area right now and is a core part of the development of Large Language
Models, Robotics, and superhuman performance in games, such as Chess and Go.
We will then build on this to add in function approximation that is required for many real world problems, and other key approaches that go into modern algorithms. The tutorial exercises are aimed at making you familiar with open source tools that you can use for your own projects. Learn more about the event here.