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Begleitseminar zum Studienprojekt EBiMAS: Emergent behaviors in a multi-agent system with reinforcement learning (Part V)
Prof. Dr. Elia Bruni
Julius Mayer, M. Sc.
Veranstaltungstyp: Seminar
TeilnehmerInnen:
Beschreibung:
In the EBiMAS study project, you will collaborate as a team on developing and training a multi-agent system with a 3D simulation framework that we’ve developed based on Google DeepMind’s MuJoCo physics engine. In the scenario you will work on, simple artificial ant agents must solve a puzzle-foraging task, potentially learning to communicate with each other in the process. The agents are trained with advanced Deep Reinforcement Learning algorithms to investigate emergent properties and dynamics between the agents, such as language, cooperation, and strategies.
Prerequisites for this course include proficiency in programming (Python) and either basic experience with simulation tools like Blender, MuJoCo, Nvidia Isaac, or foundational knowledge of Machine Learning (ML) / Reinforcement Learning (RL) are highly recommended.
Meetings take place in person, in Room 404, on the 4th floor of the IKW building. Full-team milestone meetings with the supervisors are held bi-weekly on Wednesdays. Tutor meetings are held every other week. Specific times may be adjusted based on group availability. Students are expected to self-organize as a team 2-3 times per week, with meeting times for group work agreed upon among students and subgroups.
Note: This course is open to students starting their first part of a two-semester study project in WS24 and those continuing from the previous semester. There is also a separate one-semester interdisciplinary seminar that accompanies the study project.
Erstes Treffen:
Dienstag, 29.10.2024 16:00 - 18:00, Ort: (IKW 404)
Ort: (IKW 404)
Semester: WiSe 2024/25
Zeiten:Mi. 16:30 - 18:30 (wöchentlich) - There will be bi-weekly team meetings for updates and planning with supervisors. Students are expected to self-organize and meet regularily in their work groups 2-3 times per week. Meeting times may adjust based on group availability., Termine am Dienstag, 29.10.2024 16:00 - 18:00
Leistungsnachweis:
Veranstaltungsnummer:
8.3579
ECTS-Kreditpunkte:
6
Bereichseinordnung:
Veranstaltungen > Cognitive Science > Master-Programm Courses in English > Human Sciences (e.g. Cognitive Science, Psychology)
Prof. Dr. Elia Bruni
Julius Mayer, M. Sc.
Veranstaltungstyp: Seminar
TeilnehmerInnen:
Beschreibung:
In the EBiMAS study project, you will collaborate as a team on developing and training a multi-agent system with a 3D simulation framework that we’ve developed based on Google DeepMind’s MuJoCo physics engine. In the scenario you will work on, simple artificial ant agents must solve a puzzle-foraging task, potentially learning to communicate with each other in the process. The agents are trained with advanced Deep Reinforcement Learning algorithms to investigate emergent properties and dynamics between the agents, such as language, cooperation, and strategies.
Prerequisites for this course include proficiency in programming (Python) and either basic experience with simulation tools like Blender, MuJoCo, Nvidia Isaac, or foundational knowledge of Machine Learning (ML) / Reinforcement Learning (RL) are highly recommended.
Meetings take place in person, in Room 404, on the 4th floor of the IKW building. Full-team milestone meetings with the supervisors are held bi-weekly on Wednesdays. Tutor meetings are held every other week. Specific times may be adjusted based on group availability. Students are expected to self-organize as a team 2-3 times per week, with meeting times for group work agreed upon among students and subgroups.
Note: This course is open to students starting their first part of a two-semester study project in WS24 and those continuing from the previous semester. There is also a separate one-semester interdisciplinary seminar that accompanies the study project.
Erstes Treffen:
Dienstag, 29.10.2024 16:00 - 18:00, Ort: (IKW 404)
Ort: (IKW 404)
Semester: WiSe 2024/25
Zeiten:Mi. 16:30 - 18:30 (wöchentlich) - There will be bi-weekly team meetings for updates and planning with supervisors. Students are expected to self-organize and meet regularily in their work groups 2-3 times per week. Meeting times may adjust based on group availability., Termine am Dienstag, 29.10.2024 16:00 - 18:00
Leistungsnachweis:
Veranstaltungsnummer:
8.3579
ECTS-Kreditpunkte:
6
Bereichseinordnung:
Veranstaltungen > Cognitive Science > Master-Programm Courses in English > Human Sciences (e.g. Cognitive Science, Psychology)