Jannis Weil, M. Sc.

Phone: +49 (0) 6151 16 20893
E-Mail: Jannis.Weil@...
ORCID: 0000-0001-5439-9131

Location: S3|20 203 (mainly homeoffice)

8 Private Questions (in german)

Short Bio

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).

Research Interests

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.

Open theses

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.

Supervised Labs

Semester Type Title Co-Supervisors
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

Supervised Seminars

Semester Type Title
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

Supervised Theses

Year Type Student Title Co-supervisors and notes
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

Teaching Activities

Semester Course Role
SoSe21 Communication Networks I Teaching Assistant
SoSe20 Communication Networks I Teaching Assistant