Modern Value Based Reinforcement Learning: A Chronological Review

Investigation of value based Reinforcement Learning algorithms exhibited a resurgence into Ear Muff mainstream research in 2015 following demonstration of super-human performance when applied to Atari 2600 games.Since then, significant media attention and hype have accompanied this area, and the field of Artificial Intelligence generally, spread ac

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Homogenization of Attractors to Ginzburg-Landau Equations in Media with Locally Periodic Obstacles: Critical Case

In this paper the Ginzburg-Landau equation is considered in locally periodic porous medium, with rapidly oscillating terms in the equation and boundary conditions.It is proved that the trajectory attractors of this equation converge in a weak Ironing Systems sense to the trajectory attractors of the limit Ginzburg-Landau equation with an additional

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