Hybrid PGM filtering method for short- and long-term cislunar target tracking with angles-only data and prior information fusion.
Kernel-based ensemble Gaussian mixture filtering for orbit determination with sparse data
2 Pith papers cite this work. Polarity classification is still indexing.
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Reinforcement learning is used to learn adaptive policies for selecting parameters in nonlinear Bayesian filters, improving estimate quality and consistency in experiments with the unscented Kalman filter and stochastic integration filter.
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Learning Adaptive Parameter Policies for Nonlinear Bayesian Filtering
Reinforcement learning is used to learn adaptive policies for selecting parameters in nonlinear Bayesian filters, improving estimate quality and consistency in experiments with the unscented Kalman filter and stochastic integration filter.