Main Page

Registration for this course is open until Monday, 21.04.2025 23:59.

News

slides upload

Written on 17.04.25 by Joerg Hoffmann

Hi all,

the slides are uploaded (we'll always do that after the lecture).

Hi all,

the slides are uploaded (we'll always do that after the lecture).

Note: I removed some details from the slides, compared to what I showed you this morning. What's relevant for the exam is the content in the handouts, so if something is not there you don't need to worry about it. (In some places, we are still in the process of optimizing the slides for the drastic re-design this course has undergone since last 2 year)

best,

Jörg

Exercise Sheet 1 Released

Written on 17.04.25 by Chaahat Jain

Hello everyone,

I have uploaded the first Exercise Sheet now. It can be viewed in Information/Materials. The instructions for submitting this sheet can be found in Information/Organization.

Looking forward to meet you all next Thursday :)

Warm Regards,

Chaahat Jain.

Exercise Sheets

Written on 11.04.25 by Daniel Höller

Dear students,

We have updated the instructions regarding exercise sheets in CMS. You can find them under Information/Organization.

Best regards,
Daniel Höller

Chapter 1

Written on 10.04.25 (last change on 10.04.25) by Joerg Hoffmann

Hello everybody,

I just uploaded the slide handouts for Chapter 0 and 1. (The upload will always be done shortly after the lecture)

Notes:

Usually we upload the handouts only up to the point where we got in the respective lecture. I have however uploaded all of Chapter 1 already, so that… Read more

Hello everybody,

I just uploaded the slide handouts for Chapter 0 and 1. (The upload will always be done shortly after the lecture)

Notes:

Usually we upload the handouts only up to the point where we got in the respective lecture. I have however uploaded all of Chapter 1 already, so that you already have the AI Slides Lookup links at the very end, and can start looking at this a bit if you want.
The "Discounted MDPs" section of Chapter 1 will NOT be relevant to the rest of the course. It is there because it is relevant in longer versions of the course (without dropping several lectures due to public holidays).
Next Thursday, we will be doing Chapter 1, but also part of Chapter 2 already, so it won't all just be repetition of AI Core Course concepts.

I enjoyed the lecture today. Hope most of you will decide to take the course.

best,

Jörg Hoffmann

Trusted 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. This course mainly focuses on techniques supporting trust in learned action policies, through verification and testing methods. We furthermore cover a technique to learn action policies in the first place, in a way generalizing across instance size; and we cover some plan generation techniques whose technical components are used in policy verification and testing.

Prerequisites. Successful participation in the core course Artificial Intelligence provides useful background, but is not necessary.