RT-BBO extends factorization-machine black-box optimization to dynamic, discrete environments by adding sliding data windows, model weight decay, and an exploration incentive, and demonstrates high throughput on a simulated wireless beamforming task.
Online Combinatorial Optimization under Bandit Feedback
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Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines
RT-BBO extends factorization-machine black-box optimization to dynamic, discrete environments by adding sliding data windows, model weight decay, and an exploration incentive, and demonstrates high throughput on a simulated wireless beamforming task.