AI Planning Dr. Daniel Fišer, Daniel Höller Advanced Lecture (6 CP), Winter Semester 2022

News

29.11.2022

Change of lecture hall

Dear students,

since the projector in our lecture hall keeps failing, we decided to move the lecture starting tomorrow to our seminar room on the third floor of building E 1.1, room 3.06.

Best,

   Dan

29.11.2022

Paper Exercise 3

Dear students,

The third paper exercise is now available in CMS. Submit your solutions to CMS, the deadline is December 9.

Best,

   Dan

21.11.2022

Goal-Counting Heuristic results

Dear students,
the results, of the Goal-Counting Heuristic project, are now visible. In case there exist any problems with the evaluation of this project, please contact Pascal Lauer.

Note that, in order to be admitted to the group phase (and exam), you will... Read more

Dear students,
the results, of the Goal-Counting Heuristic project, are now visible. In case there exist any problems with the evaluation of this project, please contact Pascal Lauer.

Note that, in order to be admitted to the group phase (and exam), you will have to implement the Additive Heuristic (hadd) or Max Heuristic (hmax). You can find all details in the project description.

16.11.2022

Nightly Tests

Dear students,

it was brought to our attention that the nightly tests from yesterday did not run or ran with a commit different the newest for some of you. The issue was on our side and should be fixed now. We just re-ran the nightly tests, so you should have... Read more

Dear students,

it was brought to our attention that the nightly tests from yesterday did not run or ran with a commit different the newest for some of you. The issue was on our side and should be fixed now. We just re-ran the nightly tests, so you should have received an email with the correct nightly test results in case you recently pushed a change. We apologize for the inconvenience.

Regards, Thorsten Klößner

15.11.2022

Paper Exercise 2

Dear students,

The second paper exercise is now available in CMS. Submit your solutions to CMS, the deadline is November 25.

Please, include your name and matriculation number in every file you submit, and if you decide to do some exercise in a group, then... Read more

Dear students,

The second paper exercise is now available in CMS. Submit your solutions to CMS, the deadline is November 25.

Please, include your name and matriculation number in every file you submit, and if you decide to do some exercise in a group, then submit such exercise only once (or clearly indicate that it was submitted also by somebody else). This will make it easier for Aleena to correct your solutions.

Best,

   Dan

07.11.2022

Programming Projects

Dear students,

the description of the programming projects has just been uploaded. You can find it under Information > Materials. There will be a workshop tomorrow (8th November, 12:15) providing you with an overview of the projects and a technical... Read more

Dear students,

the description of the programming projects has just been uploaded. You can find it under Information > Materials. There will be a workshop tomorrow (8th November, 12:15) providing you with an overview of the projects and a technical introduction. It is not required to read the description in order to attend the workshop.

Of course you can always ask questions in the forum and office hour. Please note that the office hour for next Wednesday was moved to 14:30-15:30.

See you tomorrow,
Thorsten & Pascal

02.11.2022

Paper Exercise 1

Dear students,

The first paper exercise is now available in CMS. Just a small reminder: Submitting paper exercises is not mandatory, but they are a good preparation for the final exam, and if you submit them in time, then you'll get a feedback from your tutor... Read more

Dear students,

The first paper exercise is now available in CMS. Just a small reminder: Submitting paper exercises is not mandatory, but they are a good preparation for the final exam, and if you submit them in time, then you'll get a feedback from your tutor Aleena. The deadline for the first exercise is November 11, and you can submit your solutions as pdf/zip in CMS.

Best,
   Dan Fišer

31.10.2022

Forum online

Dear students,
the AI Planning forum is now up and running. You may ask any questions regarding the lecture there.

Happy planning :-)

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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. 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.



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