Adaptive Optimal Trajectory Tracking Control of Continuous-Time Systems. - Etienne Bührle; Florian Köpf; Jairo Inga; Sören Hohmann (ECC, 2021)

Guiding Belief Space Planning with Learned Models for Interactive Merging. - Johannes Fischer 007; Etienne Bührle; Danial Kamran; Christoph Stiller (ITSC, 2022)

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. - Julian Wörmann; Daniel Bogdoll; Etienne Bührle; Han Chen; Evaristus Fuh Chuo; Kostadin Cvejoski; Ludger van Elst; Tobias Gleißner; Philip Gottschall; Stefan Griesche; Christian Hellert; Christian Hesels; et al. (CoRR, 2022)

SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments. - Arec L. Jamgochian; Etienne Bührle; Johannes Fischer 007; Mykel J. Kochenderfer (ICRA, 2023)

Gap Approaching Intelligent Driver Model for Interactive Simulation of Merging Scenarios. - Johannes Fischer 007; Etienne Bührle; Christoph Stiller (IV, 2023)

Optimal Control of Hybrid Systems via Measure Relaxations. - Etienne Bührle; Ömer Sahin Tas; Christoph Stiller (CoRR, 2025)

Stochastic Optimal Control via Measure Relaxations. - Etienne Bührle; Christoph Stiller (CoRR, 2025)