392142 Applied Cognitive Computing: Advancing Reinforcement Learning Agents through Cognitive Mechanisms (S) (SoSe 2025)

Contents, comment

This seminar explores the topic of reinforcement learning agents and how they can be optimised using human cognitive mechanisms such as abstraction, intrinsic motivation, mental simulation, few-shot problem solving, transfer learning or goal-directed planning. We will start with the field of Reinforcement Learning and then move on to research on cognitive abilities. Finally, research combining these two fields will be discussed.

Each student or pairs of students (depending on the number of participants) has to present (~15 min.) a research paper in the seminar. In addition, the exercises will be used to work on a project where an implementation of cognitive mechanisms in RL is carried out, as well as a report on the implementation including a theoretical background.

The presentation, implementation and report are part of the “Prüfungsleistung” of the seminar and the exercise. Some programming experience in Python is recommended.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

Show passed dates >>

Subject assignments

Module Course Requirements  
39-Inf-EGMI Ergänzungsmodul Informatik vertiefendes Seminar 2 Ungraded examination
Student information
39-Inf-KR Cognitive Computing / Kognitives Rechnen Angewandtes Kognitives Rechnen Student information
- Ungraded examination Student information
39-Inf-WP-KI Künstliche Intelligenz (Basis) Einführendes Seminar Student information
- Graded examination Student information
39-Inf-WP-KI-x Künstliche Intelligenz (Schwerpunkt) Einführende Veranstaltung Seminar o. Vorlesung Student information
- Graded examination Student information
39-M-Inf-AI-adv-foc_ver1 Advanced Artificial Intelligence (focus) Advanced Artificial Intelligence (focus): Seminar Graded examination
Student information
39-M-Inf-AI-app Applied Artificial Intelligence Applied Artificial Intelligence: Seminar Student information
- Graded examination Student information
39-M-Inf-AI-app-foc Applied Artificial Intelligence (focus) Applied Artificial Intelligence (focus): Seminar Student information
- Ungraded examination Student information
39-M-Inf-AI-bas Basics of Artificial Intelligence Basics of Artificial Intelligence: Seminar Student information
- Ungraded examination Student information
39-M-Inf-VKI Vertiefung Künstliche Intelligenz Spezielle Themen der Künstlichen Intelligenz Ungraded examination
Graded examination
Student information
39-M-Inf-VKIa Vertiefung Künstliche Intelligenz (5 LP) Spezielle Themen der Künstlichen Intelligenz Graded examination
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Studieren ab 50    
No more requirements
Moodle Courses
Moodle Courses
eKVV participant management:
eKVV participant management is used for this course.
Show details
Limitation of the number of participants:
Limited number of participants: 70
Address:
SS2025_392142@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_513784483@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Email archive
Number of entries 10
Open email archive
Last update basic details/teaching staff:
Monday, March 17, 2025 
Last update times:
Tuesday, April 8, 2025 
Last update rooms:
Tuesday, April 8, 2025 
Type(s) / SWS (hours per week per semester)
seminar (S) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=513784483
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
513784483