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Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning.
Jörg Stork
Martin Zaefferer
Thomas Bartz-Beielstein
A. E. Eiben
Published in:
CoRR (2019)
Keyphrases
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reinforcement learning
artificial neural networks
state space
dynamic programming
function approximators
robotic control
clustering algorithm
multiscale
support vector
learning process
markov decision processes
learning problems
model free
temporal difference
temporal difference learning