2023 – Machine Learning and Positioning Systems

Alexander Mattick: Reinforcement Learning for Node Selection in Branch-and-Bound (FAU Erlangen-Nürnberg, 2023)

By mugga May 4, 20252023, Finished, Master Thesis, Reinforcement Learning

1 Introduction The branch-and-bound algorithm is a fundamental solver for linear mixed integer programming problems. It is used to solve optimization problems with a combination of continuous and integer variables.…

Yongxu Ren: Variational Quantum Compiling with (Deep) Reinforcement Learning (FAU Erlangen-Nürnberg, 2023)

By mugga November 1, 20222023, Finished, Master Thesis, Reinforcement Learning

MotivationQuantum computing promises to revolutionize many areas that are hard or impossible to approach with tra- ditional computers. However, due to rigid hardware restrictions and noise sensitivity of currently available…

Alexander Mattick: Beam Tracking as a Time-Varying Reinforcement Learning Problem

By mugga November 1, 20222023, 5G & 6G, Finished, Reinforcement Learning, Student Project

The envisioned transition to 5G and 6G technologies have started to transform the properties of established communication networks. In the core of this transformation lies the capability of Base Stations…