1 citations · 1 across the 5 of their papers we have counts for
5 papers · 1 filter
CounterPlay: Counterfactual Post-Training for Self-Play Driving Policies
Jiarong Wei, Yin Wu, Runkai He +1
Self-play in high-throughput simulators yields driving policies with robust closed-loop performance, but improvement per unit of simulation diminishes as training scales. Policies…
Safety-Critical Scenarios Emerge from Initial Scenes
Yin Wu, Jiarong Wei, Carl Esselborn +4
Safety-critical driving scenario generation has largely focused on manipulating the behavior of surrounding agents while starting from an initial scene from driving data. This assu…
CoPark: Learning Reactive Parking via Self-Play
Jiarong Wei, Yanxing Chen, Sinuo Song +3
Learning a single policy that reaches a goal with high geometric precision while interacting safely with nearby agents poses conflicting objectives. Precision favors commitment to…
ParkDiffusion++: Ego Intention Conditioned Joint Multi-Agent Trajectory Prediction for Automated Parking using Diffusion Models
Jiarong Wei, Anna Rehr, Christian Feist +1
Automated parking is a challenging operational domain for advanced driver assistance systems, requiring robust scene understanding and interaction reasoning. The key challenge is t…
ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion Models
Jiarong Wei, Niclas Vödisch, Anna Rehr +2
Automated parking is a critical feature of Advanced Driver Assistance Systems (ADAS), where accurate trajectory prediction is essential to bridge perception and planning modules. D…