Reinforcement Learning (Level 11)
2015-16 Semester 2
Information below is for last year's course. The course will be updated but run in a similar way this year.
Please check back for an update in the next weeks.
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:
- R. Sutton and A. Barto, Reinforcement Learning, MIT Press, 1998. (Required)
This book is available online
(please note also at the bottom of that page the second edition which I will usually refer to).
- S. Thrun, W. Burgard, D. Fox, Probabilistic Robotics, MIT Press, 2006. (Recommended)
This book is available
in the library.
- C. Szepesvari, Algorithms for Reinforcement Learning, Morgan and Claypool Publishers, 2010. (Recommended)
Updated version is available online.
- M. Wiering and M. v. Otterlo (eds.) Reinforcement Learning: State-of-the-art.
Vol. 12. Springer Science & Business Media, 2012. (Recommended)
This book is 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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