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.
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