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A Scalable Sampling Method to High-Dimensional Uncertainties for Optimal and Reinforcement Learning-Based Controls.
Junfei Xie
Yan Wan
Kevin Mills
James J. Filliben
Frank L. Lewis
Published in:
IEEE Control. Syst. Lett. (2017)
Keyphrases
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high dimensional
reinforcement learning
dynamic programming
high dimensional data
optimal control
machine learning
state space
dimensionality reduction
low dimensional
data sets
data analysis
feature space
multi dimensional
similarity search
variable selection
model free