Course Program and Information

Official course syllabus Links to an external site.

Lectures

Lectures will be given Mondays 15-17 and Wednesday 13-15 in M:E, except that the first lecture will be in E:B. 

Exercises

Tuesdays and Thursdays 13:15-15:00 in M:N. 

Course Material

Slides will be available for all lectures under Modules. Exercises will be distributed in the same way. The material is based on parts of the following books

• Reinforcement Learning and Optimal Control - D. Bertsekas, see http://www.athenasc.com/rlbook_athena.html
• Planning Algorithms - La Valle, book available online at http://lavalle.pl/planning/bookbig.pdf Links to an external site.

For a computer science perspective on the subject, see

• Reinforcement Learning: An Introduction, - Sutton and Barto,  book available online at http://incompleteideas.net/book/the-book-2nd.html Links to an external site.

Exam

Accepted aid at the exam:
All course material, except for exercises and solutions of these. Pocket calculator is allowed, but no communication devices. In particular, the course books are allowed, but will not be needed. 

Preparation material for the exam:
The problems for hand solution used at the exercises give an indication of the kind of problems to expect. Additional preparation material will be distributed before the exam.