News
Second Exam RegistrationWritten on 02.03.22 by Rebecca Eifler Dear students, Registration in CMS for the second exam is open and ends in one week (09.03). Depending on the number of registered students, it will be an oral OR a written exam. Dear students, Registration in CMS for the second exam is open and ends in one week (09.03). Depending on the number of registered students, it will be an oral OR a written exam. Best, |
Exam Inspection SeatingWritten on 23.02.22 by Marcel Steinmetz Dear students, we have just fixed the seating arrangement for the exam inspection today. You should be able to see your assigned seat on your personal status page in the CMS. Kind regards,
Marcel
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First Exam ResultsWritten on 21.02.22 by Daniel Höller Dear students, The results of the first exam are now available and can be accessed on your status page. This is the grading scheme for the overall assignment (i.e., including the programming exercises, etc.): Grade Point range Dear students, The results of the first exam are now available and can be accessed on your status page. This is the grading scheme for the overall assignment (i.e., including the programming exercises, etc.): Grade Point range If you want to attend the exam inspection, please register today (see last news on more information regarding exam inspection). Best regards, |
First Exam InspectionWritten on 17.02.22 by Rebecca Eifler Dear students, the exam inspection will take place on 23.02 from 14:00 to 15:00 in E1.3 HS 002.
Best regards, |
Exam SeatingWritten on 15.02.22 by Marcel Steinmetz Dear students, we just published the seating plans for the exam tomorrow. Every registered student should have a seat assigned, which is visible on your status page under "Exam Seats". If you did not get a seat assigned, but registered for the exam, please let us know immediately. Otherwise, you… Read more Dear students, we just published the seating plans for the exam tomorrow. Every registered student should have a seat assigned, which is visible on your status page under "Exam Seats". If you did not get a seat assigned, but registered for the exam, please let us know immediately. Otherwise, you will not be able to participate in the exam. Best,
Marcel
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Planning competitionWritten on 07.02.22 by Daniel Fišer Dear students, we evaluated all submitted planners on the competition benchmark and everything went smoothly. We also wrote a separate e-mail to each group. So, if you haven't received any e-mail from us and you submitted a planner, please, write directly to danfis@cs.uni-saarland.de and let us… Read more Dear students, we evaluated all submitted planners on the competition benchmark and everything went smoothly. We also wrote a separate e-mail to each group. So, if you haven't received any e-mail from us and you submitted a planner, please, write directly to danfis@cs.uni-saarland.de and let us know. Otherwise, we should be ready to roll on Wednesday! Best, Dan |
Exam RegistrationWritten on 04.02.22 (last change on 04.02.22) by Rebecca Eifler Dear Students, Dear Students, |
Reminder: Students' Planning Systems CompetitionWritten on 31.01.22 by Rebecca Eifler Dear students, Dear students, |
Paper ExerciseWritten on 27.10.21 by Rebecca Eifler Dear students, The first paper exercise is now available in CMS. Best, |
AI Planning
AI Planning is one of the fundamental sub-areas of Artificial Intelligence, concerned with algorithms that can generate strategies of action for arbitrary autonomous agents in arbitrary environments. The course will address so-called classical planning, where the actions and environment are assumed to be deterministic; this is a central area in planning, and has been the source of many influential ideas. It is also successfully applied in practice, as we will exemplify in the course. We will examine the technical core of the current research on solving this kind of problem. We will consider four different paradigms for automatically generating heuristic functions (lower bound solution cost estimators): critical paths, ignoring delete lists, abstractions, landmarks. Apart from understanding these techniques themselves, we will learn how to analyze, combine, and compare such estimators. We will furthermore consider optimality-preserving pruning techniques based on partial-order reduction. The course contains many research results from the last decade, close to the current research frontier in planning.
Prerequisites. Ideally, participating students should have successfully completed an introductory course in Artificial Intelligence. However, the course is self-contained and any student with a solid basis in Computer Science -- algorithms, data structures, programming, propositional logic, NP-hardness -- should in principle be able to follow. Prior knowledge about search (the A* algorithm etc) is an advantage. Students who have already passed Automatic Planning in previous years are not allowed to attend the course.