CLARU
Ming04252026other

ActionVAE processed training sidecars

Compact processed artifacts including paired LIBERO z-effect/z-action teacher caches, RoboTwin paired teacher caches, ActionAE sidecar protocols, and compressed LARYBench pilot archives for offline validation used in ActionVAE and phased LaWAM training pipelines.

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Why This Matters for Physical AI

This dataset provides pre-processed training artifacts for ActionVAE and LaWAM models, enabling efficient offline reinforcement learning and imitation learning research on embodied tasks from LIBERO and RoboTwin.

Technical Profile

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Part of the LIBERO family

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