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Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity.
Kaiqing Zhang
Xiangyuan Zhang
Bin Hu
Tamer Basar
Published in:
NeurIPS (2021)
Keyphrases
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sample complexity
derivative free
risk sensitive
optimal control
theoretical analysis
control policies
neural network
data mining
optimization algorithm
learning problems
unconstrained optimization
learning process
control system
multi objective
machine learning algorithms