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Reinforcement Learning Admin Course description Learning outcomes Introduction your tutor col1 col2 Website
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Reinforcement Learning

Admin

Course description

  • This course aims to introduce the basic concepts of Reinforcement Learning and how they can be applied to real-world systems.
  • We use Sutton and Barto (2020) “Reinforcement Learning: An Introduction” as the core text. This book can be downloaded from Rich Sutton’s web-site http://incompleteideas.net
  • We focus particularly on the practice of using RL, which means understanding how to take a real world problem and formulate it as one that can be solved with RL, along with implementing systems that solve those real world problems.

Learning outcomes

At the end of this course, you should be able to:

  1. Understand how to formulate an MDP problem
  2. Implement an existing RL algorithm in Python
  3. Evaluate the performance of an application of RL

Introduction your tutor

col1

Professor James Brusey
  • j.brusey@coventry.ac.uk
  • Award winning PhD in Reinforcement Learning in 2003
  • Supervised 25 PhD students to completion
  • Over £35mil in grant funding
  • Taught courses in UK, Australia, Pakistan, India, Chile, Nepal, Vietnam, Brazil

col2

figures/james_brusey_photo_1w1.2h.png

Website

https://sites.google.com/coventry.ac.uk/practicalreinforcementlearning/home