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VOiLA Framework Uses Diffusion Models to Cut Sampling Cost by Three Orders for POMDP Planning

Artificial Intelligence #diffusion model#pomdp

VOiLA Framework Uses Diffusion Models to Cut Sampling Cost by Three Orders for POMDP Planning

Researchers present VOiLA, a framework that learns POMDP models for online planning under uncertainty using conditional diffusion models. The approach reduces sampling cost by nearly three orders of magnitude, matches or exceeds Recurrent Soft Actor Critic with less than 10% of training data, and generalizes better to unseen environments. Real-robot tests achieved 10/10 task success using models trained solely on simulation.

Jun 21, 2026 1 source