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A Faster-Than Relation for Semi-Markov Decision Processes [PDF]
Electronic Proceedings in Theoretical Computer Science, 2020 When modeling concurrent or cyber-physical systems, non-functional requirements such as time are important to consider. In order to improve the timing aspects of a model, it is necessary to have some notion of what it means for a process to be faster ...
Mathias Ruggaard Pedersen +2 more
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A Semi-Markov framework for modeling football possessions and temporal expected threat [PDF]
Scientific ReportsThis study presents a spatio-temporal semi-Markov framework to model football possessions and evaluate scoring probability within specific time windows.
Sebastian Le Coz +2 more
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Enhancing sustainability through reliability optimization of interconnected pump and water supply systems using a semi-Markov model [PDF]
Scientific ReportsEnsuring the reliability of critical infrastructure systems is essential for industrial and agricultural sustainability. This study focuses on analyzing the reliability of two interconnected systems: a centrifugal pumping system, comprising an impeller ...
Yogita Rani +2 more
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Motion Planning-Augmented Hierarchical Reinforcement Learning for Long-Horizon Mobile Manipulation [PDF]
SensorsLong-horizon mobile manipulation requires a robot to execute a sequence of heterogeneous subtasks such as navigation, picking, and articulated-object manipulation in indoor environments.
Hyungtai Kim, Mun-Taek Choi
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Learning to maximize reward rate: a model based on semi-Markov decision processes
Frontiers in Neuroscience, 2014 When animals have to make a number of decisions during a limited time interval, they face a fundamental problem: how much time they should spend on each decision in order to achieve the maximum possible total outcome.
Arash eKhodadadi +2 more
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Supply Chain Scheduling Using Double Deep Time-Series Differential Neural Network [PDF]
E3S Web of Conferences, 2021 The purpose of supply chain scheduling is to be able to find an optimized plan and strategy so as to optimize the benefits of the entire supply chain. This paper proposes a method for processing tightly coordinated supply chain task scheduling problems ...
Lu Wei, Tan Hua, Yan Xiaohui, Lv Cixing
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Applied Sciences, 2023 In addressing the issues of low efficiency in bridge maintenance decision making, the inaccurate estimation of maintenance costs, and the lack of specificity in decision making regarding maintenance measures for specific defects, this study utilizes data
Gongfeng Xin +5 more
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Complexity, 2021 Cognitive searching optimization is a subconscious mental phenomenon in decision making. Aroused by exploiting accessible human action, alleviating inefficient decision and shrinking searching space remain challenges for optimizing the solution space ...
Bingxuan Ren, Tangwen Yin, Shan Fu
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The effectiveness of naive optimization of the egress path for an active-shooter scenario
Heliyon, 2023 There have been 130 mass shootings in the United States from 1982 to June, 2022 according to the Mother Jones database of active shooter events. In these critical scenarios, making the right decisions while evacuating can be the difference between life ...
Joseph Lavalle-Rivera +3 more
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A Task Offloading Scheme in Vehicular Fog and Cloud Computing System
IEEE Access, 2020 Vehicular fog and cloud computing (VFCC) system, which provides huge computing power for processing numerous computation-intensive and delay sensitive tasks, is envisioned as an enabler for intelligent connected vehicles (ICVs).
Qiong Wu +5 more
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