quantum reinforcement learning
Quantum reinforcement learning is a framework that combines principles from quantum computing and machine learning to enhance the process of learning and decision-making. It aims to harness the computational power of quantum systems and apply it to optimize the learning process in reinforcement learning tasks.
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