Reinforcement Learning (Level 11)
2014-15 Semester 2
Lecturer: Michael Herrmann (
Lecture times: Tuesday and Friday 12:10 - 13:00 at AT LT2
First lecture on 13/1/2015
Lecture topics, handouts and schedule
will be held on Mondays and Thursdays at 13:10 pm in AT 4.12. If you have not received an email about group signup, please contact the lecturer. Tutorials start in week 3 (26/1/15)
Tutoris are Mihai Dobre (Monday) and Thomas Joyce (Thursday).
Tutorial problems and solutions
The course mark will be computed using the following weighting:
- Final Exam: 80%
- R. Sutton and A. Barto, Reinforcement Learning, MIT Press, 1998. (Required)
This book is freely available online
(there may be page numbering and typographical differences between the two versions).
- S. Thrun, W. Burgard, D. Fox, Probabilistic Robotics, MIT Press, 2006. (Recommended)
- C. Szepesvari, Algorithms for Reinforcement Learning, Morgan and Claypool Publishers, 2010. (Recommended)
Updated version is freely available online.
Other specific references (e.g., research papers) will be provided along with corresponding lectures.
Course secretary: Katey Lee
Course representative: TBD
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