2023
- Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking. Transactions on Machine Learning Research, 2023 mehr… BibTeX Volltext ( DOI )
Marlon Müller
Technical University of Munich
Place of employment
Informatics 6 - Associate Professorship of Cyber Physical Systems (Prof. Althoff)
Boltzmannstr. 3(5607)/III
85748 Garching b. München
- Office hours: Appointment by E-Mail
- Room: 5607.03.061
- marlon.mueller@tum.de
Curriculum Vitae
Marlon Müller joined the Cyber-Physical Systems Group under the supervision of Prof. Dr.-Ing. Matthias Althoff in 2025. He received his bachelor's and master's degrees in Computer Science from the Technical University of Munich. From July to November 2024, he visited Prof. Dr. Murat Arcak's group at the University of California, Berkeley.
His research focuses on developing robust and predictable machine learning systems.
He is a fully funded member of the Munich Center for Machine Learning (MCML).
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
Safe Reinforcement Learning for Modular Robots (IN2106, IN4386)
- WiSe 25: Sim-to-Real Policy Deployment
Cyber-Physical Systems (IN0014, IN2107, IN4813)
- WiSe 25: Automatic Curriculum Learning for Safe RL
- WiSe 25: Data-Driven Scenario Generation with Generative AI Methods