Author

Juzheng Zhang

University of Maryland

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#artificial intelligence Preprint Sep 2026

Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL

This work introduces ActObs, which also supervises the observation tokens already present in each trajectory, and traces this difference to SFT: action and observation gradients rapidly become orthogonal, while action-only training leaves a large residual observation gradient and degrades environment prediction below t...

Juzheng Zhang, Disha Makhija, Manoj Ghuhan Arivazhagan et al. · 0 citations

Jul 2026

β-OPSD: Deriving with Policy Optimization, Training with Self-Distillation

This work introduces $\beta$-OPSD and derives its optimal policy as a geometric interpolation between the reference policy and the privileged teacher, and provides a principled route from self-distillation to policy optimization and back without sacrificing the efficiency that makes OPSD practical.

Jiawei Xu, Ming-Hui Liu, Juzheng Zhang et al. · arXiv.org · 1 citation