SEMI-MARKOV DECISION PROCESSES WITH COUNTABLE STATE SPACE AND COMPACT ACTION SPACE
We shall be concerned with the optimization problem of semi-Markov decision processes with countable state space and compact action space. Defined is the generalized reward function associated with the semi-Markov decision processes which include the ordinary discounted Markov decision processes of discrete time parameter and also the continuous time ...
openaire
Adaptive Honeypot Engagement Through Reinforcement Learning of Semi-Markov Decision Processes [PDF]
Linan Huang, Quanyan Zhu
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Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
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Measure‐valued processes for energy markets
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero +3 more
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Quantum Markov Decision Processes: Dynamic and Semi-Definite Programs for Optimal Solutions [PDF]
Naci Saldı +2 more
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Automation and Augmentation in Theological Perspective
Abstract AI enables forms of automation that threaten unemployment and deskilling, eliminating important opportunities for the development of virtue. The concomitant loss of virtue and meaningful employment makes it a theological problem from the perspective of Catholic social teaching and theological anthropology.
Paul Scherz
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SEMI-MARKOV DECISION PROCESSES WITH INCOMPLETE STATE OBSERVATION : DISCOUNTED COST CRITERION
Kazuyoshi Wakuta
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Abstract Purpose Cognitive‐behavioural therapy for psychosis (CBTp) achieves small to modest effect sizes, which invites the question, ‘What clinical modifications might improve outcomes?’ This paper proposes an integration of CBTp with a neuropsychoanalytic approach that in clinical practice might extend the gains achieved by CBTp alone.
Michael Garrett
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Bayesian inference of a spatially dependent semi-Markovian model with application to Madagascar Covid'19 data. [PDF]
Raherinirina A +3 more
europepmc +1 more source
Road maintenance optimization through a discrete-time semi-Markov decision process
Xueqing Zhang, Hui Gao
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