MIDAS: A mixed integer dynamic approximation scheme
成果类型:
Article
署名作者:
Philpott, A. B.; Wahid, F.; Bonnans, J. F.
署名单位:
University of Auckland; Inria
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-019-01368-1
发表日期:
2020
页码:
19-50
关键词:
Decomposition methods
CONVERGENCE
摘要:
Mixed integer dynamic approximation scheme (MIDAS) is a new sampling-based algorithm for solving finite-horizon stochastic dynamic programs with monotonic Bellman functions. MIDAS approximates these value functions using step functions, leading to stage problems that are mixed integer programs. We provide a general description ofMIDAS, and prove its almost-sure convergence to a 2T e-optimal policy for problems with T stages when the Bellman functions are known to be monotonic, and the sampling process satisfies standard assumptions.