Author

Tianyu Zhang

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#artificial intelligence Preprint Oct 2026

Plausible Future, Wrong Choice: Steering World-Action Models toward Intended Future

World-Action Models (WAMs) have emerged as a promising paradigm for embodied generalist policies by jointly modeling future world evolution and robot actions across diverse manipulation tasks. However, representing diverse futures is only the first step: a capable WAM must also generate futures that match the requireme...

Zhuo-Hao Li, Jia-Wei He, Yu-Xiang Yan et al. · 0 citations

#machine learning Preprint Jun 2025

Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning

A novel unified operator is introduced that combines several regularized RL operators into a general framework that better targets peakier sampling distributions and is named trajectory general mellowmax (TGM), which is shown to identify higher quality, diverse candidates than baselines in both synthetic and real-world...

Marco Jiralerspong, Esther Derman, Danilo Vucetic et al. · 2 citations