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On the effect of probing noise in optimal control LQR via Q-learning using adaptive filtering algorithms.
Williams Jesús López Yánez
Francisco das Chagas de Souza
Published in:
Eur. J. Control (2022)
Keyphrases
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optimal control
adaptive filtering
reinforcement learning
learning algorithm
control problems
dynamic programming
policy iteration
feedback control
noisy data
rl algorithms
signal to noise ratio
filtering method
function approximation
real time
preprocessing
bayesian networks
neural network