Results 31 to 40 of about 1,185,128 (174)

Selection in Scale-Free Small World

open access: yes, 2005
In this paper we compare the performance characteristics of our selection based learning algorithm for Web crawlers with the characteristics of the reinforcement learning algorithm. The task of the crawlers is to find new information on the Web.
Farkas, Cs., Lorincz, A., Palotai, Zs.
core   +1 more source

Learning with Delayed Synaptic Plasticity [PDF]

open access: yes, 2019
The plasticity property of biological neural networks allows them to perform learning and optimize their behavior by changing their configuration. Inspired by biology, plasticity can be modeled in artificial neural networks by using Hebbian learning ...
Fletcher, George   +4 more
core   +2 more sources

Tensile force and bond stress of longitudinal reinforcemenet in heavily reinforced concrete beam [PDF]

open access: yes, 2011
This dissertation presents an experimental study related to the tensile force and bond stress of longitudinal reinforcement in heavily reinforced concrete beam. The test variables in this study include the ratio of longitudinal and shear reinforcement.
Imran, Nik Farhanim
core  

Human Dorsal Striatal Activity during Choice Discriminates Reinforcement Learning Behavior from the Gambler’s Fallacy [PDF]

open access: yes, 2011
Reinforcement learning theory has generated substantial interest in neurobiology, particularly because of the resemblance between phasic dopamine and reward prediction errors.
Jessup, Ryan K., O'Doherty, John P.
core   +1 more source

Numerical analysis of structural behavior of welded wire reinforcement in reinforced concrete beams [PDF]

open access: yes, 2016
Thesis (M.S.) University of Alaska Fairbanks, 2016Modernization and industrialization have paved the way for the construction industry of India to expand. On the other hand the Indian construction industry is set to face an acute workforce shortage.
Balasubramanian, Radhakrishnan   +1 more
core  

The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI [PDF]

open access: yes, 2020
After generalizing the Archimedean property of real numbers in such a way as to make it adaptable to non-numeric structures, we demonstrate that the real numbers cannot be used to accurately measure non-Archimedean structures.
Alexander, Samuel Allen
core   +1 more source

Flexural Behavior of Basalt Fiber Reinforced Polymer Tube Confined Coconut Fiber Reinforced Concrete

open access: yesAdvances in Materials Science and Engineering, 2019
Basalt fiber has arisen new perspectives due to the potential low cost and excellent mechanical performance, together with the use of environmental friendly coir can be beneficial to the development of sustainable construction.
Yang Lv   +6 more
doaj   +1 more source

Reinforcement Learning: A Survey [PDF]

open access: yes, 1996
This paper surveys the field of reinforcement learning from a computer-science perspective. It is written to be accessible to researchers familiar with machine learning.
Kaelbling, L. P.   +2 more
core   +9 more sources

Semianalytical Solution and Parameters Sensitivity Analysis of Shallow Shield Tunneling-Induced Ground Settlement

open access: yesAdvances in Materials Science and Engineering, 2017
The influence of boundary soil properties on tunneling-induced ground settlement is generally not considered in current analytic solutions, and the hypothesis of equal initial stress in vertical and horizontal makes the application of the above solutions
Jifeng Liu, Huizhi Zhang
doaj   +1 more source

Computer Vision-Based Structural Displacement Monitoring and Modal Identification with Subpixel Localization Refinement

open access: yesAdvances in Civil Engineering, 2022
In conventional structural health monitoring (SHM), the installation of sensors and data acquisition devices will affect the regular operation of structures to a certain extent and is also expensive.
Tao Liu, Yu Lei, Yibing Mao
doaj   +1 more source

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