MotionPyramid learns a stack of latent decoders from motion tracking data to create multi-resolution action interfaces for RL policies in humanoid control, with residual interfaces allowing coarse programs and fine corrections to coexist.
Olshausen and Yann LeCun , title =
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EMBER augments existing erasure methods by precisely removing concept features from embeddings via sparse matrix factorization, cutting relearning recovery to 35% on Llama-3.1-8B from 70-76%.
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MotionPyramid: Hierarchical Motion Representation and Residual Interfaces
MotionPyramid learns a stack of latent decoders from motion tracking data to create multi-resolution action interfaces for RL policies in humanoid control, with residual interfaces allowing coarse programs and fine corrections to coexist.