392119 Modern Machine Learning Methods for Socially Intelligent Agents (S) (SoSe 2021)

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In this seminar we will investigate the different aspects of socially intelligent agents with the aim of gaining a deeper understanding of the individual structures that are necessary for the creation of adaptive and lifelike social agents.
Both the well established and current state of the art methods will be investigated individually or in a small group by choosing one of the available topics and giving a half-hour talk, as well as an extended essay on that topic.
The focus of the state of the art methods will be on machine learning and reinforcement learning algorithms, by focusing on the topics:

Reinforcement approaches to cooperative behaviour
Social behaviour synthesis
Intrinsically Motivated Open-Ended Learning
Socially-Aware Robot interaction

Due to the current situation, the course will be offered exclusively as an online course in the summer semester 2021.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

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Subject assignments

Module Course Requirements  
39-M-Inf-VHC_a Virtual Humans and Conversational Agents Konversationale Agenten/Dialogsysteme Study requirement
Ungraded examination
Graded examination
Student information
39-M-Inf-VKI Vertiefung Künstliche Intelligenz Spezielle Themen der Künstlichen Intelligenz Ungraded examination
Graded examination
Student information

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Registered number: 27
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Address:
SS2021_392119@ekvv.uni-bielefeld.de
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20 Students to be reached directly via email
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Last update basic details/teaching staff:
Monday, February 1, 2021 
Last update times:
Tuesday, December 22, 2020 
Last update rooms:
Tuesday, December 22, 2020 
Type(s) / SWS (hours per week per semester)
S / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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256432925