Author

Taehyung Kim

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#artificial intelligence Preprint Sep 2026

Collision Snapshot Guided Time-Reversed Safety-Critical Scenario Generation

The generation of safety-critical traffic scenarios is essential for training and evaluating autonomous vehicles. Prior approaches typically perturb the trajectories of existing agents in a traffic scenario using simplified adversarial objectives to induce safety-critical interactions, which can limit the plausibility...

Taehyung Kim, Jongeun Choi · 0 citations

Preprint Aug 2026

To Go Far, Go Together: Diverse Preferences Induce a Curriculum for Reward Optimization

This work argues that, given a sufficiently diverse user population, a curriculum naturally emerges between easy- and hard-to-optimize reward models, and proposes CurriPO, which grows a tree-structured curriculum to accommodate diverse user-specific objectives, covering the population in a single traversal.

Taehyung Kim, Jongeun Choi · 0 citations