Shaobo Shen

W2W: Language-Model-Based Trajectory Prediction with Reinforcement Learning

Pedestrian trajectory prediction is crucial for applications such as autonomous driving and social robots. Recently, language model (LM)-based trajectory prediction has offered both prediction accuracy and interpretability. However, the L2 loss commonly used in trajectory prediction cannot be direct