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State-based confidence bounds for data-driven stochastic reachability using Hilbert space embeddings.
Adam J. Thorpe
Kendric R. Ortiz
Meeko M. K. Oishi
Published in:
Autom. (2022)
Keyphrases
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hilbert space
data driven
confidence bounds
state space
infinite dimensional
von neumann
euclidean space
finite dimensional
scale spaces
multivariate time series
input space
convex sets
feature maps
kernel function
reproducing kernel hilbert space
continuous functions
dimensionality reduction
reinforcement learning