Personal tools

Reinforcement Learning

29/05/2017 07:47:57, theon, Refresh, Feedback

Course Details

TitleReinforcement Learning
School AcronymRL
Normal Year Taken5
Delivery PeriodS2
Exam/Work Weighting80% / 20%
School Course Page
University Course PageINFR11010

Staff and Groups

The following staff are associated with this course.

Course Lecturer(s)
R Ramamoorthy IF-1.41 505119
Teaching Support
Marker D Angelov
Marker S Penkov
Teaching Assistant S Penkov
Admin Support
Please use the ISS Contact Form to contact admin support
PGT Course Secretary K Lee

Lecture Times

Please see the Web Timetable link on the DRPS page.

Coursework Assignments

The following coursework is associated with this course:

Tag Title Type Assessed? Out of Worth
1 Assignment 1 Practical Yes 100 10%
2 Assignment 2 Practical Yes 100 10%

Deadlines & Feedback

The following coursework deadlines are associated with this course:

Tag Deadline Outcome*
Submission Feedback
1 02/03/2017 23/03/2017 on time
2 28/03/2017 18/04/2017 2 days late

*The Outcome will show the number of days early or late (from the "Feedback" deadline) that feedback, or marks and feedback, was distributed to the students.

University guidelines require Schools to provide feedback on all formative coursework assignments within three weeks of the submission deadline. If the marking deadlines for summative (for-credit) coursework given above exceed this period, the course involves very large amounts of marking and the course team has been given permission to advertise a longer marking period. Please contact for further information.