Reinforcement Learning (RL)

Response to 2014/15 survey feedback.

The course is running in 2015/16.

I have taken note of the feedback provided through the Student Online Survey. I have the following responses/clarifications:

  • I am very grateful for the spectrum of responses which may reflect the fact that the course consists of two parts, one that gives an introduction into the basis concepts and another one which aims at a guidance towards the state of the art in the field.
  • I will continue to improve the course structure and style. This will include a larger number of Matlab scripts for applications of RL algorithms.
  • Optimal benefit from the course is conditional on reading the required literature and attending the tutorials.

Michael Herrmann, August 2015.