Join our weekly meetings on Thursdays 14:30-16:00 at CITEC-1.015.
The seminar focus is on current approaches to deep reinforcement learning [1] as has been explored widely in the last couple of years in the area of learning decisions in computer games [2]. Further, current work extends these approaches to more real-world problems as grasping in robotics [3]. The seminar will give an introduction to the theoretical background of Deep Reinforcement Learning. It will afterward deal with state of the art methods and research literature presenting those methods [4]. Participants are expected to actively participate in the course by presenting selected articles. The seminar aims at comparing different approaches and providing an overview of current evolving principles and questions.
[1] https://deepmind.com/blog/deep-reinforcement-learning
[2] https://youtu.be/XjsY8-P4WHM?t=48s
[3] https://blog.openai.com/learning-dexterity
[4] https://rebrand.ly/DRL
Rhythmus | Tag | Uhrzeit | Format / Ort | Zeitraum |
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Modul | Veranstaltung | Leistungen | |
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39-Inf-EGMI Ergänzungsmodul Informatik | vertiefendes Seminar 1 | unbenotete Prüfungsleistung
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Studieninformation |
vertiefendes Seminar 2 | unbenotete Prüfungsleistung
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Studieninformation | |
vertiefendes Seminar 3 | unbenotete Prüfungsleistung
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Studieninformation | |
vertiefendes Seminar 4 | unbenotete Prüfungsleistung
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Studieninformation |
Die verbindlichen Modulbeschreibungen enthalten weitere Informationen, auch zu den "Leistungen" und ihren Anforderungen. Sind mehrere "Leistungsformen" möglich, entscheiden die jeweiligen Lehrenden darüber.
• regular attendance
• active participation in discussions
• presentation of selected articles,
• writing a report on the presented articles.