New (Seminar) Course for Spring 2000
CSE 591E: Planning in Stochastic, Dynamic, Metric & Incomplete Worlds
M,W 3:15-4:30. ANTH C 113
In the past several years, significant strides have been made in designing algorithms to support decision making in realistic worlds that have actions with stochastic effects, whose states are only partially observable (due to sensor limitations), and which are inhabited by multiple adversarial or co-operative agents. This seminar course will cover these advances. Specific topics to be discussed include:
The course will assume familiarity with deterministic planning techniques, logic and probabilistic reasoning, at the level these topics are covered in CSE 471. The course is largely complementary to the material covered in CSE 574: Planning & Learning methods in AI. .
There will be no prescribed textbook. Instead, we will read a set of state-of-the-art papers on the various topics. Grading for the course will be based on class participation, a semester project and examinations.