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Papers

TrajTok: Technical Report for 2025 Waymo Open Sim Agents Challenge

2025-06-23 · Zhiyuan Zhang, Xiaosong Jia, GuanYu Chen, QiFeng Li, Junchi Yan

In this technical report, we introduce TrajTok, a trajectory tokenizer for discrete next-token-prediction based behavior generation models, which combines data-driven and rule-based methods with better coverage, symmetry and robustness, along with a spatial-aware label smoothing method for cross-entropy loss. We adopt the tokenizer and loss for the SMART model and reach a superior performance with realism score of 0.7852 on the Waymo Open Sim Agents Challenge 2025. We will open-source the code in the future.

📄 PDF Abstract BibTeX arXiv:2506.21618

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