Contents. Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto. Book: Reinforcement Learning and Dynamic Programming Using Function Approximators. Sina Iravanian. Lectures - RL. Lectures will be held between 12:10 - 13:00 in LT4 7BSq. on Tuesdays and 12:10 - 13:00 same place on Fridays. Basic Mathematical Background: Please review this cribsheet to make sure you understand the concepts therein. You may also find these resources useful as occasional reference material.
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. Tutorials The course includes 8 tutorials. RL Home.