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Finite-sample analysis of nonlinear stochastic approximation with applications in reinforcement learning.
Zaiwei Chen
Sheng Zhang
Thinh T. Doan
John-Paul Clarke
Siva Theja Maguluri
Published in:
Autom. (2022)
Keyphrases
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stochastic approximation
reinforcement learning
finite sample
machine learning
objective function
monte carlo
pattern classification
feature selection
least squares
sample size
learning problems
optimal control
statistical learning theory