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/I5LAuoMtT5s
Minecraft: 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
Python (>1 year), PyTorch or TensorFlow (basic experience).
Frequency | Weekday | Time | Format / Place | Period |
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Module | Course | Requirements | |
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39-M-Inf-P Projekt | Projekt | Ungraded examination
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Student information |
39-M-Inf-P1_NWI Projekt 1 | Projekt 1 | Ungraded examination
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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.