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Energy consumption forecasting using a stacked nonparametric Bayesian approach
Given these considerations, we construct a stacked GP method where the predictive posteriors of each GP applied to each task are used in the prior and likelihood of the next level GP.
Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control
However the traditional MPPI framework assumes the actual environment similar to the training dataset for the deep neural network which is impractical in practice with different maneuvering of target, other perturbations and actuator failures.
Robotics Systems and Control
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