Preprint Open access
Beyond Reconstruction: What Matters in Action Tokenization for Robot Policies?
Autoregressive action-token policies such as vision-language-action models require action tokenizers to translate discrete token sequences into precise control actions in continuous space. Many action tokenizers learn the mapping between tokens and actions via a reconstruction objective. However, as we show through ext …