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Seunghun Oh

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Preprint Aug 2026

SCAPE: Scenario-Conditioned Simulation-Augmented Policy Evaluation

Reliable performance evaluation is a central bottleneck for deploying robot-learning policies in real-world conditions. Real-world testing is faithful but costly and difficult to scale, whereas simulation-based testing scales easily but is inevitably biased by the sim-to-real gap. Existing simulation-augmented methods...

Dijie Zhu, Seunghun Oh, Ruo-Peng Huang et al. · 0 citations

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