392245 Project: RL agents for an industry machine transport system (Pj) (SoSe 2026)
Contents, comment
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Das Projekt wird wahlweise auf Deutsch oder Englisch gegeben.
In this project, students will use popular reinforcement learning frameworks to train agents to solve a realistic industrial application with the "eXtended Transport System" (XTS). To achieve this, students will mainly work in simulation and train agents. Aspects such as energy consumption, variable system sizes and safety constraints should be considered in the training. At the end, there is the option of running the agents on a real XTS in our lab.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | n.V. | 13.04.-24.07.2026 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-P Project Projekt | Projekt | Ungraded examination
|
Student information |
| 39-M-Inf-P_NWI_a Project Projekt | Projekt | Ungraded 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.
- Address:
- SS2026_392245@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Thursday, January 15, 2026
- Last update times:
- Thursday, December 18, 2025
- Last update rooms:
- Thursday, December 18, 2025
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Department
- Faculty of Technology
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- 656870390