ESE 561 - Theory of Artificial Intelligence

Problem solving by searching, game trees, constraint satisfaction problems, uncertain knowledge and reasoning, probabilistic reasoning, probabilistic reasoning over time, Markov decision processes, partially observable Markov decision processes, reinforcement learning, generalized reinforcement learning.

3 credits

Grading Letter graded (A, A-, B+, etc.)