Zhao-Yuan Ma

Behavior-Aligned Action Tokenization for Robot Policy Learning

Autoregressive robot policies learn continuous control by predicting discrete action tokens from observations. Different tasks often share local motions, yet behavioral correspondence across demonstrations receives limited explicit supervision in existing tokenizers. Motions with different timing can therefore lack a s...