CSE 574: Planning and Learning
- Office: GWC 374
- Telephone: 965-0113
- E-mail: email@example.com
- Lecture: T-Thu 3:15-4:30pm TC 233
- Office Hours: T-Thu 4:30-5:30pm GWC 374
No prescribed text book. Material will be taken from several research,
survey and tutorial papers plus drafts of some chapters of a book
Here is a very
detailed potential syllabus.
(See also the homepages of
One of the central problems in Artifcial Intelligence is that of
planning--deciding a sequence of actions that can take an agent from a
given initial state of the world to a desired goal state. This course
will provide an introduction to the theoretical and practical aspects
of AI planning and scheduling methods. It will cover various issues in
representing and reasoning about actions and plans, existing
architectures for synthesizing plans, and interactions between
planning, learning and execution.
There is no required text book for this course. Readings will be drawn
from a set of tutorial papers as well as conference/journal papers
(see syllabus). Depending on my progress, I may be able to distribute
rough drafts of a book under preparation.
Online synopses of the class discussions will be put on the class
home-page throughout the semester.
CSE471 -- Introduction to AI (or consent of instructor)
Grades will be based on two exams, class participation, a
set of homeworks and a project. The relative weights are:
- Class participation (keeping up with readings, revising online
notes) [~15% of final grade]
- Midterm, Final [~40% of final grade]
- Computer Assignments + Course project [~45% of final grade]