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Optimal learning of transition probabilities in the two-agent newsvendor problem.

, , and . WSC, page 1088-1098. IEEE, (2010)

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Bayesian Exploration for Approximate Dynamic Programming., , , and . Operations Research, 67 (1): 198-214 (2019)Balancing Optimal Large Deviations in Ranking and Selection., and . WSC, page 3368-3379. IEEE, (2019)Equilibrium analysis of observable express service with customer choice., and . Queueing Syst. Theory Appl., 99 (3-4): 243-281 (2021)Moderate deviations inequalities for Gaussian process regression., and . J. Appl. Probab., 61 (1): 172-197 (March 2024)Simulation optimization: a panel on the state of the art in research and practice., , , , , , and . WSC, page 3696-3706. IEEE/ACM, (2014)A Monte Carlo Knowledge Gradient Method for Learning Abatement Potential of Emissions Reduction Technologies., and . WSC, page 1492-1502. IEEE, (2009)Evasive flow capture: Optimal location of weigh-in-motion systems, tollbooths, and security checkpoints., , and . Networks, 65 (1): 22-42 (2015)A New Optimal Stepsize for Approximate Dynamic Programming., , and . IEEE Trans. Automat. Contr., 60 (3): 743-758 (2015)Balancing Optimal Large Deviations in Sequential Selection., and . Manag. Sci., 69 (6): 3457-3473 (June 2023)Simulation optimization: a tutorial overview and recent developments in gradient-based methods., , , and . WSC, page 21-35. IEEE/ACM, (2014)