Bio

Zeveldin Gabriel Resch is a Master's student in Computer Science at the RPTU in Kaiserslautern, Germany, where he specialises in machine learning, reinforcement learning and large language models. Since March 2024, he has been part of the Machine Learning Group supervised by Prof. Dr. Sophie Fellenz. His Bachelor thesis explored how knowledge generated by large language models can accelerate and stabilise reinforcement‑learning agents. Gabriel's overarching goal is to combine theoretical insights with practical applications in language‑ and decision‑making systems.

Research Interests

Gabriel's interests include:

• Reinforcement Learning
• Inverse Reinforcement Learning
• Large Language Models