A constrained multi-objective post-training method for this setting was developed and validated, and it was verified that the method’s internal constraint-enforcement mechanism behaves as intended, applying negligible pressure while the requirement is easy to satisfy and increasing sharply as it becomes difficult to meet.
This work dissects advantage-guided VLA post-training through a controlled empirical study that separates these design choices while accounting for their distinct estimands, and develops stage-specific offline evaluation methods to screen alternative choices efficiently, without requiring extensive real-robot policy ev...
Jia-Hang Cao, Han-Ye Zhao, Hang Lai et al.· 0 citations
A reliable TTT framework for VLA policies (VANE), where candidate updates are isolated from the live policy, evaluated on subsequent observations, and committed only when supported by future evidence, making adaptation selective and reversible.
H. Ji, Guo-Yang Xia, Luo-Yang Sun et al.· 1 citation
WISE (World-model-guided Imagination Scheduling for Efficient Post-training of Vision-Language-Action Models), a unified framework that coordinates when and how world-model imagination is used during policy refinement, is introduced.
Chen-Hao Zhang, Han-Yu Zhao, Hang Cheng et al.· 1 citation
Within this trained-task regime, DEM sits on the observed success--latency--energy frontier and provides a strong, efficient baseline for language-conditioned robot skills.
Xia-Tao Sun, Chen Liang, Zi-Yao Zeng et al.· 2 citations
IMLE-VLA is introduced, which replaces the iterative action head with a single-step conditional generator trained via conditional Implicit Maximum Likelihood Estimation (cIMLE), and promotes multimodal action coverage, avoiding the mode collapse of naive regression heads while eliminating multi-step sampling entirely.
Kian Hosseinkhani, Qin-He Peng, George Shramko et al.· 1 citation
ALVA (Action- and Language-Conditioned Video Assessment), a trajectory evaluator that conditions its assessment on visual observations, the executed action sequence, and the natural language instruction, provides more effective feedback than the evaluated static image and embedding-based visual baselines and reduces th...
Hwanhee Kim, Jaehyun Jang, Seung-Min Cha et al.· Italian National Conference...· 0 citations
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