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This paper introduces BeliefDiffusion, a framework combining diffusion models to represent multimodal belief distributions and Model Predictive Control for planning in partially observable environments, achieving better navigation success and path efficiency than baselines.
This paper presents a skill-constrained model predictive control approach for resilient manufacturing supply chains, where training decisions affect future certified capacity. The controller solves a finite-horizon mixed-integer program and is evaluated on synthetic scenarios, showing that predictive control helps when bottlenecks are forecastable but is not universally superior.