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IMPROVED TECHNIQUES FOR STOCHASTIC COMBINATORIAL OPTIMIZATION
IMPROVED TECHNIQUES FOR STOCHASTIC COMBINATORIAL OPTIMIZATION
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机译:随机组合优化的改进技术
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摘要
In one exemplary embodiment, a method includes: modeling, by at least one processor, a problem as an approximated exogenous Markov decision process (X-MDP); converting, by the at least one processor, the approximated X-MDP into a Markov decision process (MDP); solving, by the at least one processor, the MDP using at least one search algorithm to obtain a decision; and returning, by the at least one processor, the decision.
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