Author

Ze Chen

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Preprint Sep 2026

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...

Ju Dong, Ze Chen, Zhen-Dong Xie et al. · 0 citations

Preprint Sep 2026

Rethinking Representations for World-Action Modeling

World-action models jointly learn robot policies and predict future observations, making the representation space an interface between control and prediction. We study the design of this space through controlled comparisons, finding that neither reconstruction fidelity nor pre-trained perceptual features alone ensure e...

Hao-Yi Jiang, Liu Liu, Xin-Jiang Wang et al. · 1 citation