Results 21 to 30 of about 45,379 (157)
Configurable Markov Decision Processes
CoRR, 2018 In many real-world problems, there is the possibility to configure, to a limited extent, some environmental parameters to improve the performance of a learning agent. In this paper, we propose a novel framework, Configurable Markov Decision Processes (Conf-MDPs), to model this new type of interaction with the environment.
Metelli, Alberto Maria +2 more
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Risk-Sensitive Markov Decision Processes of USV Trajectory Planning with Time-Limited Budget
Sensors, 2023 Trajectory planning plays a crucial role in ensuring the safe navigation of ships, as it involves complex decision making influenced by various factors. This paper presents a heuristic algorithm, named the Markov decision process Heuristic Algorithm (MHA)
Yi Ding, Hongyang Zhu
doaj +1 more source
Automatic Horizon Picking Using Multiple Seismic Attributes and Markov Decision Process
Remote Sensing, 2023 Picking the reflection horizon is an important step in velocity inversion and seismic interpretation. Manual picking is time-consuming and no longer suitable for current large-scale seismic data processing.
Chengliang Wu +5 more
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Transportation infrastructure asset management modeling using Markov decision process under epistemic uncertainties [PDF]
Smart and Resilient Transportation, 2021 Purpose – Transportation infrastructure asset management has long been an active but challenging problem for agencies, which urges to maintain a good state of their assets but faces budgetary limitations.
Yun Bai, Saeed Babanajad, Zheyong Bian
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Probabilistic opacity for Markov decision processes [PDF]
Information Processing Letters, 2015 Opacity is a generic security property, that has been defined on (non probabilistic) transition systems and later on Markov chains with labels. For a secret predicate, given as a subset of runs, and a function describing the view of an external observer, the value of interest for opacity is a measure of the set of runs disclosing the secret.
Béatrice Bérard +2 more
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Multi-model Markov decision processes
IISE Transactions, 2021 Markov decision processes (MDPs) have found success in many application areas that involve sequential decision making under uncertainty, including the evaluation and design of treatment and screening protocols for medical decision making. However, the data used to parameterize the model can influence what policies are recommended, and multiple ...
Lauren N. Steimle +2 more
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Reachability in Recursive Markov Decision Processes [PDF]
Information and Computation, 2006 A class of infinite-state Markov decision processes generated by stateless pushdown automata is considered. This class corresponds to 1 1/2-player games over graphs generated by BPA systems or (equivalently) 1-exit recursive state machines. An extended reachability objective is specified by two sets \(S\) and \(T\) of safe and terminal stack ...
Tomás Brázdil +3 more
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An Approach to Customer Behavior Modeling using Markov Decision Process
Mendel, 2017 This paper presents an application of Markov Decision Process method for modeling of selected marketing processes. Based on available realistic data, MDP model is constructed. Customer behavior is represented by a set of states of the model with assigned
Ondrej Grunt +4 more
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Feeding System’s Sensitivity and Reliability Analysis through Markov Decision Process [PDF]
International Journal of Mathematical, Engineering and Management SciencesThe present study investigates a Feeding system, which is responsible for continuous coal supply to the boiler of coal fired power plants. As a result of complex working condition in the power plant, feeding system is prone to system failure.
Sujata Jadhav, Amit Kumar
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The complexity of synchronizing Markov decision processes [PDF]
Journal of Computer and System Sciences, 2019 arXiv admin note: substantial text overlap with arXiv:1402.2840, arXiv:1310 ...
Laurent Doyen 0001 +2 more
openaire +3 more sources