392290 ISY Project: Deep Reinforcement Learning (Pj) (SoSe 2022)
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While current Deep Reinforcement Learning (DRL) approaches have recently shown to provide solutions for autonomous agents in well defined scenarios and tasks, these don’t scale well towards unpredictable environments and when requiring fast adaptations. Here, we bring together insights from classical control and DRL for selected competition environments: https://www.aicrowd.com
Required skills:
• Introduction to Neural Networks and python programming.
• It would be good to have some students with experience in ROS and some with basic knowledge on DRL.In case this would not find enough interest for a team project, this project proposal would be also offered (in reduced/modified form)
• an individual project
• a project for only 2 students
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| Frequency | Weekday | Time | Format / Place | Period |
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| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | weiteres Projekt | Ungraded examination
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- project (Pj) / 2
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- Faculty of Technology
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