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University of Pennsylvania
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Direct regression policies can match generative model performance in robot learning by learning input-dependent residual scales and robustly handling heavy-tailed action distributions.
A unified framework that transforms how we build and debug asynchronous robot programs, ensuring reproducibility and systematic debugging across environments.
