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pro vyhledávání: '"Takakura, Shokichi"'
Autor:
Takakura, Shokichi, Suzuki, Taiji
In this paper, we study the feature learning ability of two-layer neural networks in the mean-field regime through the lens of kernel methods. To focus on the dynamics of the kernel induced by the first layer, we utilize a two-timescale limit, where
Externí odkaz:
http://arxiv.org/abs/2403.14917
Autor:
Takakura, Shokichi, Suzuki, Taiji
Despite the great success of Transformer networks in various applications such as natural language processing and computer vision, their theoretical aspects are not well understood. In this paper, we study the approximation and estimation ability of
Externí odkaz:
http://arxiv.org/abs/2305.18699
Autor:
Takakura, Shokichi, Sato, Kazuhiro
We consider the static output feedback control for Linear Quadratic Regulator problems with structured constraints under the assumption that system parameters are unknown. To solve the problem in the model free setting, we propose the policy gradient
Externí odkaz:
http://arxiv.org/abs/2203.00289
Akademický článek
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