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Existing VLMs misinterpret critical evidence in exploratory manipulation, but a novel distillation approach boosts action recovery accuracy by nearly half.
Reservoir Computing offers a surprisingly effective way to build Koopman dictionaries for nonlinear system identification, sidestepping the usual dictionary selection and ill-conditioning problems.
