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Tulane University
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Utility misspecification can lead to significant performance drops in RL, but this new framework ensures robustness against such deviations, enhancing real-world applicability.
Forget static images – this system generates *editable* design variations by predicting style attributes, opening up new possibilities for personalized and scalable creative workflows.