PAPO-VLA improves vision-language-action reliability by identifying planning actions via action variation and trajectory outcomes, weighting them by causal importance in policy optimization, and boosting benchmark performance.
Dirichlet-Guided Group Forecasting reduces time-series over-smoothing by modeling multi-modal predictive distributions with Dirichlet-guided sampling, improving accuracy, diversity, and dynamical consistency.