Osnabrück University

Research Unit Data Science


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The Osnabrück University offers every Semester a wide variety of courses in the field of Data Science. The specific orientation and focus of the course is in the hands of the responsible lecturer and of course also depends on the degree programme for which it is offered.

For example, the courses offered by Cognitive Science, Computer Science, Econometrics, Psychology, Social Research and working groups in the field of Data Science are generally more application-oriented, while the courses offered at the Institute of Mathematics tend to have a more theoretical focus.

Current term

Begleitseminar zum Studienprojekt: Emergent behaviors in a multi-agent system with reinforcement learning (Part IV)

8.3579

Dozenten

Beschreibung

This is an interdisciplinary seminar accompanying a study project. The group will work together to further develop a multi-agent system. The multi-agent system simulates a microcosm of simple artificial organisms (agents) in a puzzle-foraging scenario, trained with reinforcement learning. We make use of DeepMind’s MuJoCo physics engine to investigate emergent properties and dynamics between populations of agents, e.g. language, cooperation, and strategies.

Note: This course is a 1-semester interdisciplinary seminar. Due to the high demand for last semester’s study project with the same topic, new students will be given the chance to join the current project group with the same topic for another semester. Prerequisites are competence in programming and either basic experience with simulation frameworks such as Unity or MuJoCo or basic knowledge of ML / RL. However, please note that due to the high demand, only a limited amount of new students can be admitted.
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We have received a high volume of interest in this project and to that end, we are compelled to conduct a selection process to provide a meaningful organization and supervision for all participants. As part of the selection process, we will be requesting applicants to submit a brief essay that introduces themselves and their motivation for participating in the project. This will help us to better understand each candidate and determine the best fit for the program. More information on that will be announced around two weeks before the course starts. While I cannot guarantee your acceptance into the study project at this time, I encourage you to apply with regard to the course prerequisites.

Weitere Angaben

Ort: nicht angegeben
Zeiten:
Erster Termin:
Veranstaltungsart: Seminar (Offizielle Lehrveranstaltungen)

Studienbereiche

  • Cognitive Science > Master-Programm
  • Human Sciences (e.g. Cognitive Science, Psychology)