Welcome to the course "Introduction to Reinforcement Learning", which will run in the spring of 2023. The course consists of 14 weeks, in which you hand in 4 assignments, and make a final exam.

Teachers: Daan Pelt, Thomas Moerland, Aske Plaat, Serban Vadineanu, Koen Ponse. 

Schedule: An overview of the schedule is available under Schedule. Lectures take place on Tuesdays, 11.00-13.00, in Snellius 174. Practicals take place on Thursdays, 13.15-15.00, in Snellius 174. 

Attendance: In principle, we expect all students to physically attend both the lectures and the practicals. In case you are incidentally not able to join, please let us know (through email, see Contact). 

Assignments: You need to make four assignments, in groups of two. See Assignments.

Grading: 50% exam, 50% assignments (12.5% for each assignment). See Grading.

Brightspace: We use Brightspace for all communication throughout the course: announcements, delivering slides, handing-out & handing in assignments, providing grades, content questions (forum), etc.