"
Quantum Multiple Q-Learning"
written by Michael Ganger, Wei Hu,
published by
International Journal of Intelligence Science,
Vol.9 No.1, 2019
has been cited by the following article(s):
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[1]
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Detection of DDoS Attacks in Fog Computing using Interpretable Quantum-based 2Q Learning Approach
2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE),
2025
DOI:10.1109/IITCEE64140.2025.10915401
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[2]
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Quantum framework for reinforcement learning: Integrating the Markov decision process, quantum arithmetic, and trajectory search
Physical Review A,
2025
DOI:10.1103/5lfr-xb8m
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[3]
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Maximizing Wireless Sensor Networks Coverage and Connectivity in Irregular Terrains Using Grover’s Quantum Algorithm
IEEE Sensors Journal,
2025
DOI:10.1109/JSEN.2025.3598361
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[4]
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Design and analysis of parallel quantum transfer fractal priority replay with dynamic memory algorithm in quantum reinforcement learning for robotics
IET Quantum Communication,
2024
DOI:10.1049/qtc2.12111
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[5]
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Safe reinforcement learning under temporal logic with reward design and quantum action selection
Scientific Reports,
2023
DOI:10.1038/s41598-023-28582-4
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[6]
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Distributional Reinforcement Learning with Quantum Neural Networks
Intelligent Control and Automation,
2019
DOI:10.4236/ica.2019.102004
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[7]
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Q Learning with Quantum Neural Networks
Natural Science,
2019
DOI:10.4236/ns.2019.111005
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[8]
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Reinforcement Learning with Deep Quantum Neural Networks
Journal of Quantum Information Science,
2019
DOI:10.4236/jqis.2019.91001
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[9]
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Training a Quantum Neural Network to Solve the Contextual Multi-Armed Bandit Problem
Natural Science,
2019
DOI:10.4236/ns.2019.111003
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