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R2RDreamer achieves superior spatial generalization for 2D manipulation policies by transforming 3D action-observation pairs into coherent 2D video data, all while minimizing the sim-to-real gap.
Agents-K1 transforms how we extract and reason about scientific knowledge, achieving superior performance in multi-hop reasoning tasks compared to existing methods.
