StateMem: Single-State Residual Memory with Adaptive Inference for Vision-Language-Action Policies
This work proposes StateMem, a single-state residual memory framework for VLA policies that uses prediction error to update a persistent memory token through low-rank residuals and to adaptively route cached prefixes.
Wen-Zhuo Li, Q. Shi, Yi Zhou
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