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A compact 0.54M-parameter policy can achieve near-optimal performance on the LIBERO benchmark, challenging the notion that larger models are always better. WHY_IT MATTERS: This research could redefine our understanding of model efficiency in VLA systems, paving the way for more deployment-efficient robotic policies.
