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Reinforcement Learning (Level 11)

Semester 2 2012-13

Official course descriptor (or here)

Admin:

Course organiser: Michael Rovatsos
Office: 2.12 IF
Phone: 651 3263
Course representative: TBD

Lectures:

Lecturer: Michael Herrmann (michael dot herrmann at ed etc.)
Lecture times: Tuesday and Friday 12:10 - 13:00 (LT4 BSq 7)
Lecture topics, handouts and schedule

Tutorials:

will be held in AT 5.07 on Mondays and Thursdays at 13:10 pm.

Assessment:

The course mark will be computed using the following weighting:

• Homework 1: 10%
• Homework 2: 10%
• Final Exam: 80%

Readings:

• 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)
  Draft version is freely available online.

Other specific references (e.g., research papers) will be provided along with corresponding lectures.

Last update: 8 January, 2013.