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INSA Rouen Normandy, LITIS
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Learned world models can achieve real-time control in live games, outperforming behavioral cloning and maintaining high-frequency action loops.
Black-box attacks can be made dramatically more efficient by simply steering them towards the most promising adversarial class early on, achieving up to a 27% improvement in success rate.
