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Toward Breaking the Curse of Dimensionality: An FPTAS for Stochastic Dynamic Programs with Multidimensional Actions and Scalar States.
Nir Halman
Giacomo Nannicini
Published in:
SIAM J. Optim. (2019)
Keyphrases
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stochastic dynamic
initial state
perceptual aliasing
state transitions
action sequences
partial knowledge
internal states
reinforcement learning
goal directed
multi dimensional
multidimensional data
vector valued
state information
multidimensional space
state transition
pareto optimal
reasoning about actions
computer programs
plan recognition
learning algorithm