392193 Reinforcement Learning in the Context of Robotics and Optimal Control (S) (SoSe 2024)
Contents, comment
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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 | Do | 12-14 | CITEC-1.015 | 08.04.-19.07.2024
not on: 5/9/24 / 5/30/24 |
|
| one-time | Do | 12-14 | CITEC 0-211 (TransferLab) | 18.04.2024 |
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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- 16 Students to be reached directly via email
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- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Wednesday, February 21, 2024
- Last update times:
- Friday, April 12, 2024
- Last update rooms:
- Friday, April 12, 2024
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Department
- Faculty of Technology
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