Optimal learning for sequential sampling with non-parametric beliefs
نویسندگان
چکیده
منابع مشابه
Optimal learning for sequential sampling with non-parametric beliefs
We propose a sequential learning policy for ranking and selection problems, where we use a non-parametric procedure for estimating the value of a policy. Our estimation approach aggregates over a set of kernel functions in order to achieve a more consistent estimator. Each element in the kernel estimation set uses a di erent bandwidth to achieve better aggregation. The nal estimate uses a weigh...
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ژورنال
عنوان ژورنال: Journal of Global Optimization
سال: 2013
ISSN: 0925-5001,1573-2916
DOI: 10.1007/s10898-013-0050-5