使习惯于 发表于 2025-3-23 10:03:13
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https://doi.org/10.1007/978-3-322-95656-9This chapter is concerned with the analysis of the probability distributions of singularly perturbed Markov chains having weakly irreducible generators.消毒 发表于 2025-3-23 20:58:12
https://doi.org/10.1007/978-3-322-95763-4Continuing the central themes of this book, as an application of the asymptotic properties of singularly perturbed Markov chains, this chapter focuses on hierarchical controls for a class of Markov decision problems. Our main attention is on finite-state continuous-time Markov decision processes (MDP) having weak and strong interactions.无法解释 发表于 2025-3-23 23:06:55
https://doi.org/10.1007/978-3-322-95789-4While Chapter 8 deals with Markov decision processes, this chapter is concerned with stochastic dynamical systems with the state . (.) ∈ ℝ. and the control satisfying.where ε > 0 is a small parameter, and α .(.), . ≥, is a Markov chain defined on a probability space (Ω., .) taking values in刀锋 发表于 2025-3-24 03:03:38
Asymptotic Expansion: Irreducible GeneratorsThis chapter is concerned with the analysis of the probability distributions of singularly perturbed Markov chains having weakly irreducible generators.欢乐中国 发表于 2025-3-24 09:38:57
Markov Decision ProblemsContinuing the central themes of this book, as an application of the asymptotic properties of singularly perturbed Markov chains, this chapter focuses on hierarchical controls for a class of Markov decision problems. Our main attention is on finite-state continuous-time Markov decision processes (MDP) having weak and strong interactions.BRIEF 发表于 2025-3-24 11:46:34
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https://doi.org/10.1007/978-3-322-95624-8singularly perturbed system involving two-time scales, namely, the actual time . and the stretched time ./ε To analyze such systems, one seeks to “average out” the fast variables and to consider only certain averaged characteristics via asymptotic methods.Venules 发表于 2025-3-24 23:45:51
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