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Perfectionism, personality, and affective experiences: New insights from revised Reinforcement Sensitivity Theory [PDF]
, 2015 Previous studies have linked perfectionism to differences in reinforcement sensitivity, but findings have been mixed. The present study explored the relationships between three forms of perfectionism (self-oriented, other-oriented, socially prescribed ...
Stoeber, Joachim +3 more
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Applied SciencesReinforced-concrete structures in aggressive environments may not always achieve their intended service life. To enhance durability in such cases, stainless steel reinforcement can be a suitable alternative, contributing to more sustainable and resilient
Luana Abreu Araujo +4 more
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Concrete Gas Permeability: Implications for Hydrogen Storage Applications
Applied SciencesConcrete is widely utilized across various industries as a containment material. One essential property related to its performance is permeability, which determines its ability to allow the passage of gases or liquids through its pores and capillaries ...
Luana Abreu Araujo +7 more
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External Prestressing Bridge Reinforcement Technology Review
MATEC Web of Conferences, 2015 Externally prestressed bridge can not only limit and reduce the cracks and deformation of the structure, improve the rigidity and bearing capacity of structure, improve the stress state of structure, but also have less interference for bridge operation ...
Zhu Hanbing, Yang Yaxun, Fan Weiya
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An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks [PDF]
In search of a simple baseline for Deep Reinforcement Learning in locomotion tasks, we propose a model-free open-loop strategy. By leveraging prior knowledge and the elegance of simple oscillators to generate periodic joint motions, it achieves ...
Raffin, Antonin +19 more
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Real-World Reinforcement Learning
, 2021 This is our first public release of real-world reinforcement learning, a document with associated code showing how to design and deploy reinforcement learning solutions in customer-facing applications.If you use this software, please cite it as ...
Mason, Douglas
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Learning Strict Nash Equilibria through Reinforcement [PDF]
This paper studies the analytical properties of the reinforcement learning model proposed in Erev and Roth (1998), also termed cumulative reinforcement learning in Laslier et al (2001).
Ianni, Antonella
core
Probability Matching and Reinforcement Learning* [PDF]
Probability matching occurs when an action is chosen with a frequency equivalent to the probability of that action being the best choice. This sub-optimal behavior has been reported repeatedly by psychologist and experimental economist.
Javier Rivas
core
Intermittent Reinforcement and the Persistence of Behavior: Experimental Evidence [PDF]
Whereas economists have made extensive studies of the impact of levels of incentives on behavior, they have paid little attention to the effects of regularity and frequency of incentives.
Villeval, Marie Claire +1 more
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Journal of the Royal Statistical Society Series B: Statistical Methodology, 1994 SUMMARY Reinforcement is here meant the addition of plots of standard treatments to the blocks of a non-orthogonal design to improve it. The purpose could be either to aid a comparison of the existing treatments or to facilitate their comparison with the standards.
openaire +2 more sources