392269 Learning to Run - Humanoid and Robotic Locomotion (Pj) (WiSe 2018/2019)

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For more information about the project, please contact
Dr. Andrew Melnik anmelnik(at)techfak.uni-bielefeld.de
Office 3.308 (CITEC Building)
Consultation hours: Wednesdays 17:15-18:00

The project intends to gain practical experience with Deep Reinforcement Learning. In this project, you will apply neural networks to learn and produce complex purposeful actions in simulated environments in the context of humanoid and/or walking robot locomotion [1, 2]:
[1] https://www.crowdai.org/challenges/nips-2018-ai-for-prosthetics-challenge
[2] https://youtu.be/vjSohj-Iclc

Requirements for participation, required level

- Introduction to Neural Networks course or Advanced Neural Networks
- Python (>= 1 year)

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Module Course Requirements  
39-M-Inf-P_ver1 Projekt Projekt Ungraded examination
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Registered number: 1
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Address:
WS2018_392269@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Thursday, October 11, 2018 
Last update times:
Tuesday, October 9, 2018 
Last update rooms:
Tuesday, October 9, 2018 
Type(s) / SWS (hours per week per semester)
project (Pj) / 4
Language
This lecture is taught in english
Department
Faculty of Technology
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ID
146529812