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Efficient Sampling Procedure for Selecting the Largest Stationary Probability of a Markov Chain.

, , , and . CASE, page 899-905. IEEE, (2018)

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Efficient Simulation Resource Sharing and Allocation for Selecting the Best., , , and . IEEE Trans. Automat. Contr., 58 (4): 1017-1023 (2013)Asynchronous Value Iteration for Markov Decision Processes with Continuous State Spaces., , , and . WSC, page 2856-2866. IEEE, (2020)Variance Reduction for Generalized Likelihood Ratio Method in Quantile Sensitivity Estimation., , , , and . WSC, page 1-12. IEEE, (2021)On the regularity conditions and applications for generalized likelihood ratio method., , and . WSC, page 919-930. IEEE, (2016)Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training., , , , , and . CoRR, (2024)Dynamic Sampling Allocation for Selecting a Good Enough Alternative., , , and . CASE, page 1319-1324. IEEE, (2020)Ranking and Selection as Stochastic Control., , , and . IEEE Trans. Automat. Contr., 63 (8): 2359-2373 (2018)Estimating Quantile Sensitivity for Financial Models with Correlations and Jumps., , , and . WSC, page 962-973. IEEE, (2019)Dynamic Sampling for Feasibility Determination., , , and . CASE, page 887-892. IEEE, (2018)An optimization approach for team coordination through information sharing., , , and . CASE, page 282-287. IEEE, (2017)