Author

Sen-Hua Zhu

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Preprint Sep 2026

GLAM: Training a latent world model over global spatiotemporal memory for active exploration and navigation

Active exploration and semantic navigation require an embodied agent to build memory from partial observations, predict how the evolution of observed spatial memory may support future motion, and convert that prediction into actionable plans. We present GLAM, a goal-conditioned latent world model trained over global sp...

I-Tak Ieong, Rui-Zhi Feng, Zhao-Yang Lu et al. · 0 citations

#artificial intelligence Preprint Aug 2026

PAVE: Predictive Alignment and Value-Guided Evolution for World-Action Policies

Every valid trajectory can teach what physically happened, while the actor is deployed only under the condition associated with relatively better actions, in \method, a direct world-action policy that combines outcome-agnostic predictive learning with outcome-aware policy improvement.

Bo-Tong Zhao, Fangjie Yu, Tim Yu et al. · 0 citations