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challenge is enabling high-level reasoning for long-horizon tasks without compromising the speed, reliability and efficiency required for real deployment. Current systems often reason effectively but act
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via feedback, interaction and continual learning. It will explore converting human videos, simulation, web-scale data and unstructured experience into supervision and reward signals through relabelling
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