KIN
发表于 2025-3-25 03:43:33
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杠杆
发表于 2025-3-25 08:15:50
Event-Based Optimization of Markov Systemst the two performance sensitivity formulas are the bases for learning and optimization of stochastic systems. The performance derivative formula leads to the gradient-based optimization approach, and the performance difference formula leads to the policy iteration approach to the standard MDP-type of problems.
jagged
发表于 2025-3-25 15:32:48
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remission
发表于 2025-3-25 18:58:51
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forbid
发表于 2025-3-25 20:50:42
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Lignans
发表于 2025-3-26 02:08:23
Constructing Sensitivity FormulasAlthough the two sensitivity formulas for Markov chains can be derived easily from the Poisson equation, this mathematical derivation lacks structural insights needed for deriving similar sensitivity formulas for other non-standard problems.
诱使
发表于 2025-3-26 07:27:20
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laxative
发表于 2025-3-26 10:43:43
Introductionternet and wireless networks), manufacturing, logistics, robotics, and bioinformatics. Most engineering systems are too complicated to be analyzed, or the parameters of the system models cannot be easily obtained. Therefore, learning techniques have to be applied.
LINES
发表于 2025-3-26 14:58:49
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狗舍
发表于 2025-3-26 19:43:47
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