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Bachelor of Science (RoboTUM Practical Course: Provably Safe Reeinforcement Learning Challenge: State-Change–Aware PPO under Action Constraints for Enhanced Feature Representation and Exploration; exploring ways to enhance OpenAIs PPO-RL algorithm by adding a prediction head that estimates state changes for specific actions. Grade 1.0 BT: Investigating Interfaces Between RL-Based Behavior Planners and Motion Planners for Autonomous Driving)
2022-2026Abitur (Student Council President International research project “Intoxicating Spaces” Programming Club (Gifted Student Support Program by the Oldenburg Cooperation Network))
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