CD-LAM is a LAM-side causal debiasing method for continuous latent actions. CD-LAM keeps the downstream action conditioning format unchanged while debiasing the latent action space before ACWM training, combining embodiment-centric reconstruction, action-centric contrastive learning, and latent space calibration.
☆20Jul 21, 2026Updated 3 months ago
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