Dipl.-Ing. Adrian Bretschneider

PhD Researcher

Adrian Bretschneider received the Diploma degree (Dipl. Ing.) in electrical engineering from Technical University Dresden, Germany in 2021 where he is currently pursuing a Ph.D. degree at the Deutsche Telekom Chair of Communication Networks. His research focuses on Machine Learning — in particular (Hypermedia-Multi-Agent) Deep Reinforcement Learning — and its application to complex real-world domains, such as robotics, traffic control, and communication networks.

Research interests

• Hypermedia Multi-Agent-Systems
• Reinforcement Learning
• Machine Learning for robotic control

Contact

Email: adrian.bretschneider@tu-dresden.de

Room: BAR S/19

Supervision

Master Project

• Autonomous transfer learning through the use of a context-driven Artifact description language (Hassine Chahed)

Publications

2022

Grohmann, Andreas I.; Busch, Johannes V. S.; Bretschneider, Adrian; Lehmann, Christopher; Fitzek, Frank H. P.
JAVRIS: Joint Artificial Visual Prediction and Control for Remote-(Robot) Interaction Systems
In: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2022), Las Vegas, USA, 2022.

2021

A. I. Grohmann, D. Nophut, M. Sobe, A. B. Perez and F. H. P. Fitzek,
“Interference resilience of Thread: A practical performance evaluation,”
2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), 2021, pp. 1-4, doi: 10.1109/CCNC49032.2021.9369625.