QUANTUM COMPUTATION FOR ACTION SELECTION USING REINFORCEMENT LEARNING

DOI10.1142/S0219749906002419zbMath1107.81303WikidataQ62593320 ScholiaQ62593320MaRDI QIDQ3427060

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Publication date: 14 March 2007

Published in: International Journal of Quantum Information (Search for Journal in Brave)

zbMATH Keywords

quantum computationreinforcement learningaction selectiongrover iteration

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Quantum computation (81P68)

Related Items (5)

Hybrid MDP based integrated hierarchical Q-learning ⋮ Quantum speedup for pool-based active learning ⋮ A Quantum Implementation Model for Artificial Neural Networks ⋮ Quantum-enhanced feature selection with forward selection and backward elimination ⋮ Fidelity-based ant colony algorithm with Q-learning of quantum system

Cites Work

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• QUANTUM GENETIC ALGORITHM METHOD IN SELF-CONSISTENT ELECTRONIC STRUCTURE CALCULATIONS OF A QUANTUM DOT WITH MANY ELECTRONS
• Quantum artificial neural network architectures and components
• Simulations of quantum neural networks

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