Browsing Machine Learning by Subject "reinforcement learning; sampling"
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Q-Learning Induced Artificial Bee Colony for Noisy Optimization
(2020)The paper proposes a novel approach to adaptive selection of sample size for a trial solution of an evolutionary algorithm when noise of unknown distribution contaminates the objective surface. The sample size of a solution ...