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Materials based on fiber-reinforced coating have gained increasing attention due to their environmental and industrial application tracks. Polyvinyl alcohol (PVA) composites with interpenetrating cros...
Epoxy resins (EP) have been widely applied in chemical engineering, composite materials, and aerospace. Nevertheless, the high fire hazard of flammable epoxy resins, which release considerable hazardo...
In the last few years, the 3D GIS domain has developed rapidly, and has become increasingly accessible to different disciplines. 3D Spatial analysis of Built-up areas seems to be one of the most chall...
he church of San Carlo dei Barnabiti houses one of the most important examples of Baroque illusionistic painting in Florence. Given the level of deterioration of the vault, the preliminary investiga...
Achieving high reliability across environmental variations and over aging in physical unclonable functions (PUFs) remains a challenge for PUF designers. The conventional method to improve PUF reliab...
We propose a method for learning dialogue management policies from a fixed data set. The method addresses the challenges posed by Information State Update (ISU)-based dialogue systems, which r...
Reinforcement learning (RL) is concerned with the identification of optimal controls in Markov decision processes (MDPs) where no explicit model of the transition probabilities is available. Many exis...
Vegetation significantly affects hillslope mechanical properties related to shallow landslides and slope stability. The objective of this study was to investigate and quantify the effect of Oriental...
In this work, molybdenum disulfide (MoS2)−modified graphene (MoS2/GNS) hybrids were prepared by the hydrothermal method and characterized by X-ray diffraction (XRD), Laser Raman spectroscopy (LR...
Background: Rapid weight gain in infancy is associated with a higher risk of obesity in children and adults. A high relative reinforcing value of food is cross-sectionally related to obesity; lean chi...
In this study, ideological criticism combined with use of muted group theory are employed to analyze four Quiverfull mothering blogs in order to unveil the models of mothering and maternal messages th...
The central theme motivating this dissertation is the desire to develop reinforcement learning algorithms that “just work” regardless of the domain in which they are applied. The largest impediment to...
Reinforcement Learning for Mapping Instructions to Actions。
Agent-based modeling (ABM) is a relatively new tool for use in electric power market research. At heart are software agents representing real-world stakeholders in the industry: utilities, power produ...
We propose a reinforcement learning solution to the \emph{soccer dribbling task}, a scenario in which a soccer agent has to go from the beginning to the end of a region keeping possession of the ball,...

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