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A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning.
Michael Kölle
Timo Witter
Tobias Rohe
Gerhard Stenzel
Philipp Altmann
Thomas Gabor
Published in:
CoRR (2024)
Keyphrases
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reinforcement learning
empirical studies
high speed
simulation study
learning algorithm
function approximation
computer vision
bayesian networks
multi agent
evolutionary algorithm
supervised learning
statistical analysis
delay insensitive
quantum computing