Reinforcement Learning for Traffic Signal Control Optimization: A Concept for Real-World Implementation. - Henri Meess; Jeremias Gerner; Daniel Hein 001; Stefanie Schmidtner; Gordon Elger (AAMAS, 2022)

Enhancing Realistic Floating Car Observers in Microscopic Traffic Simulation. - Jeremias Gerner; Dominik Rößle; Daniel Cremers; Klaus Bogenberger; Torsten Schön; Stefanie Schmidtner (ITSC, 2023)

User-Centric Green Light Optimized Speed Advisory with Reinforcement Learning. - Anna-Lena Schlamp; Jeremias Gerner; Klaus Bogenberger; Stefanie Schmidtner (ITSC, 2023)

Temporal Enhanced Floating Car Observers. - Jeremias Gerner; Klaus Bogenberger; Stefanie Schmidtner (IV, 2024)

Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction. - Dominik Rößle; Jeremias Gerner; Klaus Bogenberger; Daniel Cremers; Stefanie Schmidtner; Torsten Schön (IV, 2024)

First steps towards real-world traffic signal control optimisation by reinforcement learning. - Henri Meess; Jeremias Gerner; Daniel Hein 001; Stefanie Schmidtner; Gordon Elger; Klaus Bogenberger (J. Simulation, 2024)

Floating Car Observers in Intelligent Transportation Systems: Detection Modeling and Temporal Insights. - Jeremias Gerner; Klaus Bogenberger; Stefanie Schmidtner (CoRR, 2025)