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Training an agent to learn from an oracle's future actions, not just its initial decision, unlocks significantly deeper and more robust long-horizon reinforcement learning.
SafeAtlas-VL reveals that nuanced, multi-level safety assessments can significantly enhance the performance of multimodal safety models, outperforming existing benchmarks by 4%.
Current video generation models fail to maintain embodiment consistency and functional interaction in human-to-robot manipulation, revealing significant gaps in their transfer capabilities.