Results 21 to 30 of about 1,155,738 (347)
Frontiers in Artificial Intelligence, 2022 Within computational reinforcement learning, a growing body of work seeks to express an agent's knowledge of its world through large collections of predictions.
Alex Kearney +5 more
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Reinforcement learning in populations of spiking neurons [PDF]
, 2008 Population coding is widely regarded as a key mechanism for achieving reliable behavioral responses in the face of neuronal variability. But in standard reinforcement learning a flip-side becomes apparent.
A Pouget +13 more
core +2 more sources
Buildings, 2023 The corrugated steel plate shear wall (CSPSW) has high strength, ductility, and energy dissipation capacity and can be used as the lateral force-resisting system of multi-story and high-rise buildings. The vertical load transmitted by the upper floor and
Fangfang Li +4 more
doaj +1 more source
Optimization of robustness based on reinforced nodes in a modular network [PDF]
, 2021 Many systems such as critical infrastructure exhibit a modular structure with many links within the modules and few links between them. One approach to increase the robustness of these systems is to reinforce a fraction of the nodes in each module, so that the reinforced nodes provide additional needed sources for themselves as well as for their nearby
arxiv +1 more source
Effect of Gr Contents on Wear Properties of Al2024/MgO/Al2O3/Gr Hybrid Composites [PDF]
, 2018 In the present study, hybrid metal matrix composites, Al2024/10Al2O3, Al2024/10Al2O3/3MgO, Al2024/10Al2O3/6MgO, Al2024/10Al2O3/3MgO/1.5 Gr, Al2024/10Al2O3/3MgO/3Gr, and reinforcement samples (AA 2024) produced with powder metallurgy process.
Albayrak, S. +3 more
core +1 more source
Advances in Materials Science and Engineering, 2018 Basalt fiber is cheap and has excellent mechanical performance. In addition, in combination with the environmentally friendly coconut fiber, it can contribute to sustainable construction materials.
Yang Lv +5 more
doaj +1 more source
Nondestructive Controllable Grouting: A Novel Method to Correct Deviation of Building Foundation
Advances in Civil Engineering, 2023 Nondestructive controllable grouting is a novel method for the accurate, reliable, and nondestructive lifting of buildings. In this method, the grouting construction is divided into several stages.
Xuedong Cui
doaj +1 more source
Dynamic Analysis on the Parametric Resonance of the Tower–Multicable–Beam Coupled System
Applied Sciences, 2022 Considering the effect of the bridge deck’s bending stiffness and the indirect effect of adjacent cables (CEB), this paper aims to propose a refined model to reliably analyze the complex internal resonance mechanism of the tower–multicable–beam coupled ...
Shuanhai He +5 more
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Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey [PDF]
arXiv, 2021 Deep reinforcement learning augments the reinforcement learning framework and utilizes the powerful representation of deep neural networks. Recent works have demonstrated the remarkable successes of deep reinforcement learning in various domains including finance, medicine, healthcare, video games, robotics, and computer vision.
arxiv
BuildingsThe interface of fresh-aged concrete represents a critical vulnerability within monolithic assembled monolithic concrete structures. In this paper, the shear performance of the interface between post-cast epoxy resin concrete and standard concrete is ...
Peiqi Chen +3 more
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