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Verifying Test-State Identity in Paired Evaluation of Vision-Language-Action Models

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This research abstract presents a framework for verifying test-state identity in paired evaluations of vision-language-action (VLA) models.

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Environment: simulation
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“arXiv:2611.00896v1 Announce Type: new Abstract: Simulation-based VLA evaluation often treats matching task, seed, and episode identifiers as sufficient evidence that two policies faced identical test conditions. Under specific vectorized reset and autoreset conditions, different termination timing can change subsequent initial-state assignment, so the same episode index need not mean the same test state. We present a”

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11/3
  1. arXiv Robotics — research abstractsSignal
    Verifying Test-State Identity in Paired Evaluation of Vision-Language-Action Models

    This research abstract presents a framework for verifying test-state identity in paired evaluations of vision-language-action (VLA) models.

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