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Sagan

Paper

PROWL: Prioritized Regret-Driven Optimization for World Model Learning

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AI summary

arXiv:2605. 18803v1 Announce Type: new Abstract: Modern action-conditioned video world models achieve strong short-horizon visual realism, yet remain unreliable on rare, interaction-critical transitions that dominate downstream planning and policy performance.