Decision Making Under Uncertainty


Lecturer: Christos Dimitrakakis
Course higher education credits: 7,5
Course is normally given in period LP2
Graduate school Computer Science and Engineering
Department Computer Science and Engineering


This year the course is integrated with the Reinforcement learning competition

The following tutorial gives an overview of some of the topics that will be covered in the course. [Slides] [Video] (Covers Subjective probability and utility, decision problems, Bandit Problems, MDPs, and Bayesian reinforcement learning).


Schedule
Starting Spring 2018 (February).
Location Unknown.
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Contact information
Address Phone e-mail
DIT 6452 chrdimi
Chalmers +46 31772 1044 @
SE-41296 Goteborg chalmers.se