Training a Quantum Neural Network to Solve the Contextual Multi-Armed Bandit Problem

ISSN Print: 2150-4091
ISSN Online: 2150-4105
www.scirp.net/journal/ns
E-mail: [email protected]

Citations

"Training a Quantum Neural Network to Solve the Contextual Multi-Armed Bandit Problem"
written by Wei Hu, James Hu,
published by Natural Science, Vol.11 No.1, 2019

has been cited by the following article(s):

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[2]	Quantum contextual bandits and recommender systems for quantum data
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[4]	A Survey on Quantum Reinforcement Learning
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[5]	Perception modelling by invariant representation of deep learning for automated structural diagnostic in aircraft maintenance: A study case using DeepSHM
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[6]	Deep Reinforcement Learning With Quantum-Inspired Experience Replay
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[7]	Reinforcement Learning with Deep Quantum Neural Networks
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[8]	Distributional Reinforcement Learning with Quantum Neural Networks
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[9]	Q Learning with Quantum Neural Networks
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[1]	Variational Quantum Circuits in Offline Contextual Bandit Problems 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), 2025 DOI:10.1109/QCE65121.2025.00190

[2]	Quantum Contextual Bandits: Integrating Bandit Exploration into Quantum Neural Network 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2025 DOI:10.1109/SMC58881.2025.11342551

[3]	Quantum contextual bandits and recommender systems for quantum data Quantum Machine Intelligence, 2024 DOI:10.1007/s42484-024-00189-6

[4]	Perception modelling by invariant representation of deep learning for automated structural diagnostic in aircraft maintenance: A study case using DeepSHM Mechanical Systems and Signal Processing, 2022 DOI:10.1016/j.ymssp.2021.108153

[5]	Deep Reinforcement Learning With Quantum-Inspired Experience Replay IEEE Transactions on Cybernetics, 2022 DOI:10.1109/TCYB.2021.3053414