Location: S3|20 203 (mainly homeoffice)
8 Private Questions (in german)
Jannis studied computer science at the Technical University of Darmstadt and received his master's degree in 2019 with the thesis "Cooperative Multi-Agent Reinforcement Learning for Role-Based Games using Unity". Since spring 2020, he is a research assistant in the Adaptive Communication Systems (ACS) group at the Multimedia Communications Lab (KOM).
My research interests are centered around Machine Learning and its application in Game Technology and Adaptive Communication Systems, with a focus on Reinforcement Learning in Multi-Agent Systems (MAS).
To be more specific: This includes cooperation, open MAS (agents can join/leave the system), communication, opponent modelling, partial observability and uncertainty.
I am looking for motivated students who would like to start with their bachelor's or master's theses. Feel free to write me an email if you are interested in one of the aformentioned topics. It helps if you already have an idea of what you would like to do (e.g. creating an AI for a specific game or solving some networking problem).
Apart from that, we also list a selection of open topics here.
|SoSe22||KOM Lab||360° Video Live Streaming in Unity||-|
|WiSe21||PrKI||Learning Approaches for Pommerman (eight groups)||Johannes Czech|
|WiSe21||KOM Lab||Multi-Agent Environment Interface for ns-3||Lisa Wernet|
|SoSe21||KOM Lab||(Multi-Agent) Reinforcement Learning in ns-3||–|
|SoSe21||KOM Lab||Communication in PettingZoo||–|
|WiSe20||KOM Lab||Point Cloud Streaming with Unity||Yassin Alkhalili|
|WiSe20||KOM Lab||Adaptive Coverage Path Planning for UAVs (two groups)||Julian Zobel|
|WiSe20||FB20 Bachelorpraktikum||Web-based Exam & Exercise Management||Philipp Achenbach|
|SoSe20||SG Praktikum||Mobile-Controlled Cooperative Multiplayer Game||–|
|SoSe22||MMCS||Cooperative Reinforcement Learning in Networking Applications|
|WiSe21||MMCS||Graph Neural Networks in Networking|
|SoSe21||MMCS||World Models in Deep Reinforcement Learning|
|WiSe20||SG Seminar||Multiplayer Games for AI Research|
|WiSe20||MMCS||Deep Adaptive Video Streaming|
|SoSe20||SG Seminar||Games in Machine Learning Research|
|Year||Type||Student||Title||Co-supervisors and notes|
|2022||Master||Julian Barthel||QoE Fairness for Adaptive Video Streaming using Deep Reinforcement Learning||-|
|2022||Bachelor||Michail Moroz||Simulating Networks for Unity-based Games||-|
|2022||Master||Yulian Sun||Federated Transfer Learning with Multimodal Data||Lisa Wernet (main supervisor), Ahmad Khalil|
|2021||Master||Julia Oxé||Publish-Subscribe Communication in Cooperative Multi-Agent Systems in the Context of Industry 4.0||External thesis (Accso), Lisa Wernet|
|2021||Bachelor||Jonas Ringsdorf||Adaptive Rule-assisted Deep Reinforcement Learning||–|
|2021||Bachelor||Minh Vu Pham||Object-Oriented Representations in Deep Reinforcement Learning||Tobias Meuser|
|SoSe22||Communication Networks I||Teaching Assistant|
|SoSe21||Communication Networks I||Teaching Assistant|
|SoSe20||Communication Networks I||Teaching Assistant|