Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios. - Fabian Konstantinidis; Ulrich Hofmann 002; Moritz Sackmann; Jörn Thielecke; Oliver De Candido; Wolfgang Utschick (ITSC, 2021)

Modeling Interaction-Aware Driving Behavior using Graph-Based Representations and Multi-Agent Reinforcement Learning. - Fabian Konstantinidis; Moritz Sackmann; Ulrich Hofmann 002; Christoph Stiller (ITSC, 2023)

SceneMotion: From Agent-Centric Embeddings to Scene-Wide Forecasts. - Royden Wagner; Ömer Sahin Tas; Marlon Steiner; Fabian Konstantinidis; Hendrik Konigshof; Marvin Klemp; Carlos Fernández 001; Christoph Stiller (ITSC, 2024)

Graph-Based Adversarial Imitation Learning for Predicting Human Driving Behavior. - Fabian Konstantinidis; Moritz Sackmann; Ulrich Hofmann 002; Christoph Stiller (IV, 2024)

Conditional Prediction by Simulation for Automated Driving. - Fabian Konstantinidis; Moritz Sackmann; Ulrich Hofmann 002; Christoph Stiller (CoRR, 2025)

From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving. - Fabian Konstantinidis; Ariel Dallari Guerreiro; Raphael Trumpp; Moritz Sackmann; Ulrich Hofmann 002; Marco Caccamo; Christoph Stiller (CoRR, 2025)