Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning. - Rainer Trauth; Marc Kaufeld; Maximilian Geisslinger; Johannes Betz (IV, 2023)

Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles. - Marc Kaufeld; Rainer Trauth; Johannes Betz (IV, 2024)

DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving. - Dingrui Wang; Marc Kaufeld; Johannes Betz (CoRR, 2024)

MultiDrive: A Co-Simulation Framework Bridging 2D and 3D Driving Simulation for AV Software Validation. - Marc Kaufeld; Korbinian Möller; Alessio Gambi; Paolo Arcaini; Johannes Betz (CoRR, 2025)

MP-RBFN: Learning-based Vehicle Motion Primitives using Radial Basis Function Networks. - Marc Kaufeld; Mattia Piccinini; Johannes Betz (CoRR, 2025)