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Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines
Many real-time systems require the optimization of discrete variables. Black-box optimization (BBO) algorithms and multi-armed bandit (MAB) algorithms perform optimization by repeatedly taking actions and observing the corresponding instant rewards without any prior knowledge. Recently, a BBO method
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