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First Exam - Registration and Seat Assignment

Written on 24.07.24 (last change on 24.07.24) by Jan Eisenhut

Dear students,

the exam registration is closed now. We have imported the registration data from HISPOS/LSF and FlexNow2 into our CMS and assigned all registered students a seat.

Please go to your personal status page in CMS and check whether it correctly shows if you are registered or not and… Read more

Dear students,

the exam registration is closed now. We have imported the registration data from HISPOS/LSF and FlexNow2 into our CMS and assigned all registered students a seat.

Please go to your personal status page in CMS and check whether it correctly shows if you are registered or not and whether you were assigned a seat in case you are registered.

If there is a mistake, please contact us as soon as possible.

Best,
Jan

First Exam

Written on 18.07.24 (last change on 18.07.24) by Jan Eisenhut

Dear students,

we have finished grading the final exercise sheet. Your personal status page in CMS now shows whether you achieved the exam admission or not.

The first exam is on July 30. The exam takes place in lecture hall 001 in building E1 3, starts at 10am sharp and lasts 120 minutes. The… Read more

Dear students,

we have finished grading the final exercise sheet. Your personal status page in CMS now shows whether you achieved the exam admission or not.

The first exam is on July 30. The exam takes place in lecture hall 001 in building E1 3, starts at 10am sharp and lasts 120 minutes. The exam is open book, meaning you can bring any materials you want, as long as they are written on or printed on paper.

If you are admitted and would like to take the exam, please make sure to register for the exam in the respective system according to your course of study (HISPOS/LSF or FlexNow). If you need to register via HIPOS/LSF, you can register (or withdraw your registration) up to one week before the exam. Please note that we may only allow you to take the exam if you are registered in accordance with the exam regulations of your degree program.

Best,
Jan

Paper Exercise 11

Written on 09.07.24 by Daniel Fišer

Dear students,

the 11th paper exercise is out. Deadline is 16. 7. 14:15.

Best,

Dan

Course Evaluation

Written on 08.07.24 by Joerg Hoffmann

Dear all,

the course evaluation is now active. Her are the links:

Lecture:
https://qualis.uni-saarland.de/eva/?l=149444&p=fyk0cu

Tutorials:
https://qualis.uni-saarland.de/eva/?l=1494441&p=50msww

Both links are active until July 17.

best,

Jörg Hoffmann

Lecture on July 23

Written on 04.07.24 by Joerg Hoffmann

Hi all,

in the lecture slot on July 23, we'll do technical material about half of the time. After that, there'll be a Q&A session giving you the opportunity to ask questions about the exam.

best,

Jörg

Paper Exercise 10

Written on 02.07.24 by Daniel Fišer

Dear students,

the 10th paper exercise is out. Deadline is 9. 7. 14:15.

Best,

Dan

Paper Exercise 9

Written on 26.06.24 (last change on 01.07.24) by Marcel Vinzent

Dear students,

the 9th exercise sheet is out. Deadline is July 2, 14:15.

There is now an updated version that explicitly specifies the neural action policy π^''_nop (already known from the last exercise sheet).

Best,
Marcel

Paper Exercise 8

Written on 18.06.24 by Daniel Fišer

Dear students,

the 8th paper exercise is out. Deadline is 25. 6. 14:15.

Best,

Dan

Paper Exercise 7

Written on 11.06.24 by Jan Eisenhut

Dear students,

the seventh exercise sheet is out. You have until June 18, 2:15pm to submit you solutions.

Best,
Jan

Exam Anxiety

Written on 11.06.24 by Joerg Hoffmann

Hi all.

just to draw your attention to a workshop on this if relevant:

When? July 10th, from 10-12 am
Who? Are you studying in one of the English- speaking study programs of Saarland University? Do you struggle with exam anxiety and would you like to know how to deal with it?
Where? At… Read more

Hi all.

just to draw your attention to a workshop on this if relevant:

When? July 10th, from 10-12 am
Who? Are you studying in one of the English- speaking study programs of Saarland University? Do you struggle with exam anxiety and would you like to know how to deal with it?
Where? At the PPB, building B 6.2 (near the sports facilities and the university library)
How can I register? Just write a short E-Mail to PPB ppb@stw-saarland.de with the workshop title, your name, study program with number of semesters.

best regards,

Jörg Hoffmann

Paper Exercise 6 and Next Tutorial

Written on 30.05.24 by Jan Eisenhut

Dear students,

the sixth exercise sheet is out. Due to the conference break, the deadline is June 11, 2:15pm.

Accordingly, the next tutorial will take place on June 11. So there will be no tutorial next week.

Best,
Jan

Next Lecture: June 11

Written on 28.05.24 by Joerg Hoffmann

Hi all,

just a reminder: next week there will be NO lecture (we're all at a conference). The next lecture is on June 11.

best,

Jörg Hoffmann

Paper Exercise 5

Written on 21.05.24 by Daniel Fišer

Dear students,

paper exercise sheet 5 is out. Deadline is May 28 14:15.

Best,

Dan

Paper Exercise 4

Written on 14.05.24 by Daniel Fišer

Dear students,

the fourth exercise sheet is out. The deadline is May 21 14:15.

Best,

Dan

Paper Exercise 3

Written on 07.05.24 by Daniel Fišer

Dear students,

the third paper exercise is out. The deadline is 14. 5. 14:15.

Best,

Dan

Update on Exercise Sheet 2

Written on 06.05.24 by Jan Eisenhut

Dear students,

there was a minor issue in the current exercise sheet (Exercise Sheet 2): The move-express(u,v) actions were missing in the action set A.

They were not missing in the list of action definitions below, so most likely you have already seen them. However, in case you have downloaded… Read more

Dear students,

there was a minor issue in the current exercise sheet (Exercise Sheet 2): The move-express(u,v) actions were missing in the action set A.

They were not missing in the list of action definitions below, so most likely you have already seen them. However, in case you have downloaded the old version of the current exercise sheet, please make sure you have taken move-express into account.

Best,
Jan

ill

Written on 04.05.24 (last change on 04.05.24) by Joerg Hoffmann

Dear students,

just so you know, regarding the lectures --

I've had a strong cough for 4 weeks now. I learned yesterday that I have, in fact, "whooping cough" (Keuchhusten), which takes ages to wear off.

Dan Fišer will keep giving the lectures for the time being. I do hope I'll be able to… Read more

Dear students,

just so you know, regarding the lectures --

I've had a strong cough for 4 weeks now. I learned yesterday that I have, in fact, "whooping cough" (Keuchhusten), which takes ages to wear off.

Dan Fišer will keep giving the lectures for the time being. I do hope I'll be able to lecture by end of May, or June at the latest.

best,

Jörg Hofmann

ps. I'll be sitting in the lectures when I can, to see how it's going. And no worries, I'm not contagious anymore.

Paper Exercise 2

Written on 30.04.24 by Daniel Fišer

Dear students,

the second paper exercise sheet is out. You have until May 7 14:15 to submit your solutions.

Best,

Dan

First Paper Exercise

Written on 23.04.24 by Daniel Fišer

Dear students,

the first paper exercise is out, you can find it in CMS. You have until Tue April 30 14:15 to finish it. You can submit your solutions to CMS, or you can just bring it on paper to the tutorial next Tue April 30 where it will be discussed. If you submit your solution to CMS, please, include your name and matriculation number on the first page. Remember that these exercises are graded and you need to achieve at least 50% of all points to be admitted to the exam.

Best,

Dan Fiser

Show all

AI Planning

AI Planning is one of the fundamental sub-areas of Artificial Intelligence, concerned with methods taking long-term action decisions in complex environments. The course builds directly upon the core course Artificial Intelligence to delve deeper into this topic. The course covers advanced methods for effective plan generation. A special emphasis lies on techniques supporting trust in learned action policies, through methods such as verification, testing, and explanation.

The students will gain a deep understanding of algorithms used in AI Planning, encompassing both symbolic methods, data-driven methods, and combinations thereof. Many of the algorithms and methodologies are generic and are relevant also in other CS sub-areas in which large transition systems need to be analyzed.

Prerequisites. Successful participation in the core course Artificial Intelligence is strongly recommended.