RL 2017-18  |  Home  |  Lectures  |  Piazza  |  Github  |  Coursework  |  Tutorials

Reinforcement Learning 2017-2018

On Using Matlab: Take a look at this handout Introduction to MATLAB giving an introduction to MATLAB (you may ignore the section about NETLAB). A further MATLAB tutorial is available at MTU Introduction to Matlab.
Note that the coursework might also require other tools and programming environments. If so, then these will be introduced and explained in lectures.
Code repository.

Coursework 1:

Course Assignment 1 out. Due on March 5th, 2018 (deadline on 4pm; electronic submission only)

Coursework 2:

Course Assignment 2 out. Due on April 2nd, 2018 (deadline on 4pm; electronic submission only)
This page is maintained by the course lecturer



RL Home


Home : Teaching : Courses : Rl 

Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK
Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk
Please contact our webadmin with any comments or corrections. Logging and Cookies
Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh