Abstract
Historically, problems of optimal stopping and control, often also called optimal decision problems, go back to the roots of operations research in the 1940s–1950s. Roughly speaking, solving a decision problem comes down to finding an “optimal” decision strategy or policy that optimizes some pre-specified reward functional.
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Belomestny, D., Schoenmakers, J. (2018). Introduction. In: Advanced Simulation-Based Methods for Optimal Stopping and Control. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-137-03351-2_1
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DOI: https://doi.org/10.1057/978-1-137-03351-2_1
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Publisher Name: Palgrave Macmillan, London
Print ISBN: 978-1-137-03350-5
Online ISBN: 978-1-137-03351-2
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