Curriculum Vitae
Johannes Busch holds a degree in electrical engineering from TU Dresden. He joined CeTI in 2023 to research hierarchical and model-based reinforcement learning and their application to robotics.
Projects/Cooperation within CeTI you are involved in:
MintEC Camp
What is your research interest?
Hierarchical reinforcement learning, model-based reinforcement learning, robotics.
What motivated you to do what you do today?
I was always fascinated by adaptive and robotic systems. Applying novel methods from AI to robotic control is a childhood dream come true.
What do you find particularly interesting about CeTI?
The interdisciplinary that offers many contact points for cooperation.
How do you spend your free time?
Hiking, biking, and rowing.
Publications
1. | Deep reinforcement learning for the joint control of traffic light signaling and vehicle speed advice (Proceedings Article) In: Proceedings of the IEEE International Conference on Machine Learning and Applications (ICMLA), 2023. |
2. | Estimating link capacity with uncertainty bounds in cellular networks (Proceedings Article) In: Proceedings of the IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2023. |
3. | Optimizing edge SLAM: Judicious parameter settings and parallelized map updates (Proceedings Article) In: Proceedings of the IEEE Global Communications Conference (Globecom), 2022. |
4. | JAVRIS: Joint artificial visual prediction and control for remote-(robot) interaction systems (Proceedings Article) In: Proceedings of the IEEE Consumer Communications & Networking Conference (CCNC), 2022. |