Explicit upper bounds on filter-kernel sensitivity and POMDP value differences in terms of Wasserstein and total-variation distances between transition and observation kernels, with decaying error bounds for joint state-measurement quantization.
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Sensitivity of Filter Kernels and Robustness Bounds to Transition and Measurement Kernel Perturbations in Partially Observable Stochastic Control
Explicit upper bounds on filter-kernel sensitivity and POMDP value differences in terms of Wasserstein and total-variation distances between transition and observation kernels, with decaying error bounds for joint state-measurement quantization.