- Falsification-driven reinforcement learning for maritime motion planning. Ocean Engineering 361, 2026, 125579 more… Full text ( DOI ) Full text (mediaTUM)
- Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking. Transactions on Machine Learning Research, 2023 more… Full text ( DOI )
Marlon Müller
Technical University of Munich
Place of employment
Informatik 6 - Professur für Cyber Physical Systems (Prof. Althoff)
Boltzmannstr. 3
85748 Garching b. München
- Phone: +49 (89) 289-18133; +49 (89) 289-18131
- Office hours: Appointment by E-Mail
- Room: 5607.03.061
- E-mail: marlon.mueller@tum.de
Curriculum Vitae
Marlon Müller joined the Cyber-Physical Systems Group in 2025. He received his bachelor's and master's degrees in Computer Science from the Technical University of Munich. In 2023, he spent a semester at the University of Queensland. From July to November 2024, he visited the research group of Prof. Dr. Murat Arcak at the University of California, Berkeley. He is a member of the Munich Center for Machine Learning (MCML).
His research focuses on neurosymbolic learning for robotics.
Offered Topics
If you are interested in writing your thesis, working on a practical project, or exploring a research idea related to my field, even if no topics are currently listed, feel free to get in touch! Please include your CV and transcripts in your email.
Teaching
Lecture - Fundamentals of Artificial Intelligence (WiSe25, WiSe26)
Lecture - Formal Methods for Cyber-Physical Systems (WiSe25, WiSe26)
Practical Course - Safe Reinforcement Learning for Modular Robots (WiSe25, SoSe26, WiSe26)
Seminar - Cyber-Physical Systems (WiSe25, SoSe26, WiSe26)