In this ISY project / thesis, you will gain practical experience with Deep Reinforcement Learning and other state of the art approaches for robotic locomotion and manipulation of objects. You will apply neural networks to learn and produce complex purposeful actions in simulated environments:
https://youtu.be/vjSohj-Iclc
https://www.aicrowd.com/challenges/neurips-2019-learn-to-move-walk-around
https://www.aicrowd.com/challenges/real-2020-robot-open-ended-autonomous-learning
https://openai.com/blog/solving-rubiks-cube/
Required skills:
Introduction to Neural Networks course or Advanced Neural Networks
Python or C++ (>= 1 year)
Frequency | Weekday | Time | Format / Place | Period |
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Module | Course | Requirements | |
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39-M-Inf-P1_NWI Projekt 1 | Projekt 1 | Ungraded examination
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Student information |
39-M-Inf-P_ver1 Projekt | Projekt | 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.