BADGE 发表于 2025-3-25 06:22:49
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https://doi.org/10.1007/978-3-322-96359-8 average reward optimality equation and the existence of EAR optimal policies in Sect. 7.3. In Sect. 7.4, we provide a policy iteration algorithm for computing or at least approximating an EAR optimal policy. Finally, we illustrate the results in this chapter with several examples in Sect. 7.5.etiquette 发表于 2025-3-25 15:02:06
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https://doi.org/10.1007/978-3-642-02547-1Markov chain; Markov decision process; Markov decision processes; controlled Markov chains; operations rcollagen 发表于 2025-3-26 12:04:59
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Schriftenreihe Markt und Marketing a Markov policy are stated in precise terms in Sect. 2.2. We also give, in Sect. 2.3, a precise definition of state and action processes in continuous-time MDPs, together with some fundamental properties of these two processes. Then, in Sect. 2.4, we introduce the basic optimality criteria that we are interested in.