A key open problem in reinforcement learning is to assure convergence when using a compact hypothesis class to approximate the value function. Although the standard temporal-difference learning algorithm has been shown to converge when the hypothesis class is a linear combination of fixed basis functions, it may diverge with a general (nonlinear) hypothesis class. This paper describes the Bridg...

Introduction . Keywords, reflecting the main content of article, play an extremely important role in search for scientific papers databases. Together with title and abstract, keywords provide primary information about study. Selecting extracting effective is a time-consuming process, so its optimization requires further studying. Purpose. The article aimed at acquainting authors journal methods...

Acta Academica is an accredited, open access South African journal dedicated to scholarship in the humanities. The publishes independently refereed research articles It promotes perspectives of critical social theory and engagements with postcolonial post-developmental debates special references (Southern) Africa. thereby support scholarly work that examines how humanities twenty-first century ...

The convergence of the King-Werner method for finding zeros of nonlinear operators is analyzed. Under the hypothesis that the derivative of f satisfies the radius Lipschitz condition with L-average, the convergence criterion and the convergence ball for the King-Werner method are given. Applying the results to some particular functions L(u), we get the convergence theorems in [7] and [1] as wel...

Many cities in the Global South are structurally different from Northern, particularly American, on which much of urban sociology’s conceptual apparatus has been based. Thus, depicting them terms a standard vocabulary risks imposing an inappropriate way seeing. We need that is able to accommodate their experience. This special issue contributes work building vocabulary. select five keywords soc...

This paper characterizes the core of a differentiable convex distortion of a probability measure on a non atomic space by identifying it with the set of densities which dominate the derivative of the distortion, for second order stochastic dominance. Furthermore the densities that have the same distribution as the derivative of the distortion are the extreme points of the core. These results ar...