392193 Reinforcement Learning in the Context of Robotics and Optimal Control (S) (WiSe 2024/2025)

Contents, comment

This course provides an overview of reinforcement learning (RL) in the context of robotics. The main purpose is to highlight the particular challenges that arise in the field of robotics, including sim2real transfer, expensive and potentially difficult data collection, and safety constraints. A good understanding of these aspects is crucial for the successful use of RL agents in industrial robotics tasks.

Throughout the course, we will present and discuss research papers on the following topics:
• Goal-Conditioned RL
• Object Manipulation
• Real-World RL
• Optimal Control
• Safe RL
• Multi-Agent RL
For participants who are interested in training a RL agent in simulation, there is also the opportunity to present the results of a small project.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Mo 10-12 CITEC-1.015 07.10.2024-31.01.2025
not on: 10/28/24 / 12/23/24 / 12/30/24
am 28.10.2024 im CITEC-Raum 1.204
one-time Mo CITEC-1.204 28.10.2024

Subject assignments

Module Course Requirements  
39-M-Inf-AI-adv Advanced Artificial Intelligence Advanced Artificial Intelligence: Seminar 1 Study requirement
Student information
39-M-Inf-ASE-adv Advanced Autonomous Systems Engineering Advanced Autonomous Systems Engineering: Seminar 1 Study requirement
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.


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WS2024_392193@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Friday, May 17, 2024 
Last update times:
Friday, May 17, 2024 
Last update rooms:
Friday, May 17, 2024 
Type(s) / SWS (hours per week per semester)
S / 2
Department
Faculty of Technology
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474248819