Jannis Weil, M.Sc.

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Jannis Weil

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 Adaptive Communication Systems and Game Technology, with a focus on Reinforcement Learning in Multi-Agent Systems (MAS). This includes cooperation, open MAS (agents can join/leave the system), communication, opponent modelling, partial observability and uncertainty.

 

Supervised Labs

 
Semester Type Title Co-Supervisors
SoSe23 KOM Lab Generalizable Deep Learning for Networks -
SoSe23 KOM Lab Interactive Network Environment -
WiSe22 KOM Lab Interactive Network Visualization Sebastian Rust
WiSe22 KOM Lab Transition-enabled 2D/360° Streaming in Unity -
WiSe22 KOM Lab Steam Remote Play Profiling -
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 –

 

Supervised Seminars

 
Semester Type Title
SoSe23 MMCS Sim-to-Real Transfer for Learning Networks
WiSe22 MMCS Routing: A Critical View on Learning-based Approaches
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

 

Supervised Theses

 
Year Type Student Title Co-supervisors
2024 Bachelor Ismail Yigit Toparlak Collaborative Multi-Agent Perception in Pommerman -
2024 Bachelor Luca Scholz Analyzing the Influence of Network Characteristics on Remote Control
with Reinforcement Learning		 -
2023 Bachelor Benedikt Ebert Adaptive Transitions between Render Streaming Mechanisms in Unity -
2023 Master Katja Münch Communication for Distributed
Service Coordination with Deep
Reinforcement Learning		 -
2023 Master Yujin Wang Multi-Agent Communication with Selective Information Transmission -
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

 

Teaching Activities

 
Semester Course Role
SoSe23 Communication Networks I Teaching Assistant
SoSe22 Communication Networks I Teaching Assistant
SoSe21 Communication Networks I Teaching Assistant
SoSe20 Communication Networks I Teaching Assistant

Publications

List all publications