How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. - Lukas M. Schmidt; Sebastian Rietsch; Axel Plinge; Bjoern M. Eskofier; Christopher Mutschler (ITSC, 2022)

Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving. - Sebastian Rietsch; Shih-Yuan Huang; Georgios D. Kontes; Axel Plinge; Christopher Mutschler (CoRR, 2022)

Cutting multi-control quantum gates with ZX calculus. - Christian Ufrecht; Maniraman Periyasamy; Sebastian Rietsch; Daniel D. Scherer; Axel Plinge; Christopher Mutschler (Quantum, 2023)

Unitary Synthesis of Clifford+T Circuits with Reinforcement Learning. - Sebastian Rietsch; Abhishek Y. Dubey; Christian Ufrecht; Maniraman Periyasamy; Axel Plinge; Christopher Mutschler; Daniel D. Scherer (QCE, 2024)