392210 Deep Reinforcement and Imitation Learning (Pj) (WiSe 2023/2024)
Contents, comment
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In this ISY project, you will get the opportunity to create an autonomous AI agent in a simulated environment of your choice:
Deep Reinforcement Learning: https://youtu.be/XjsY8-P4WHM
Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation: https://youtu.be/I5LAuoMtT5sMinecraft: https://ni.www.techfak.uni-bielefeld.de/node/3677
Minecraft: https://minedojo.org
Minecraft: https://openai.com/blog/vpt/
Unity Obstacle Tower Challenge: https://youtu.be/owKdLnCjy3o?t=7
Railway networks: https://ni.www.techfak.uni-bielefeld.de/node/3681
Doom: http://vizdoom.cs.put.edu.pl
Game of Drones: https://ni.www.techfak.uni-bielefeld.de/node/3657
Learn to Move: https://ni.www.techfak.uni-bielefeld.de/node/3679
Requirements for participation, required level
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Python (>1 year), PyTorch or TensorFlow (basic experience).
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | n. V. | ONLINE | 09.10.2023-02.02.2024 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-P Projekt | Projekt | Ungraded examination
|
Student information |
| 39-M-Inf-P1_NWI Projekt 1 | Projekt 1 | 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.
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- Last update basic details/teaching staff:
- Saturday, November 4, 2023
- Last update times:
- Wednesday, October 18, 2023
- Last update rooms:
- Wednesday, October 18, 2023
- Type(s) / SWS (hours per week per semester)
- Pj / 2
- Department
- Faculty of Technology
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