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Linear algebra / Operator theory / Differential operators / Multivariable calculus / Spectral theory / Proto-value functions / Laplace operator / Diffusion wavelets / Laplace–Beltrami operator / Mathematical analysis / Mathematics / Algebra


Proto-Value Functions: Developmental Reinforcement Learning Sridhar Mahadevan
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Document Date: 2013-04-06 12:45:58


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File Size: 1,21 MB

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City

Belmont / Bonn / New York / /

Company

MDP / Gram matrix KG / Cambridge University Press / MIT Press / Laplacian / /

Country

Germany / United States / /

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Facility

University of Massachusetts / Yale University / /

IndustryTerm

open chain / non-symmetric random walk operator / random walk operator / inner product / node chain / symmetric operator / symmetric self-adjoint operator / positive definite inner products / random walk diffusion operator / closed chain / self-adjoint operator / open and closed chain / proto-reinforcement learning algorithms / /

Organization

Cambridge University / National Science Foundation / American Mathematical Society / Department of Computer Science / MIT / Department of Mathematics / University of Massachusetts / Amherst / Yale University / Pattern Analysis and Machine Intelligence / Department of Mathematics at Yale University / /

Person

Rss / Pss / Sridhar Mahadevan / Mauro Maggioni / /

Position

author / model / transition model / rt / human designer / /

ProvinceOrState

Massachusetts / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / Journal of Machine Learning Research / /

Technology

artificial intelligence / proto-reinforcement learning algorithms / MonteCarlo algorithms / Machine Learning / proto-RL algorithms / /

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