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时序差分学习
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时序差分学习
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理学
强化学习
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temporal difference learning
时序差分学习
时序差分学习算法是强化学习中一种用于预测的经典算法,最早由R.萨顿(Richard Sutton)提出。此算法可以获得和监督学习同样的效果,并且占用的内存更少、收敛更快。
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faster breeder reactor nuclear power plant
fast Ethernet
Fast-Evolving Luminous Transients
fast evolving star
fast fading
fast Fibonacci transform
fast fine structure
fast-fired coating
fast fission
fast fluidized bed
fast food
fast food restaurant
fast Fourier transform
fast Fourier transform, FFT
fast fringe
fast gas chromatography
fast gossiping
fast green
fast-growing and high-yield timber forest base construction program in key areas
fastigium
fast ignition
fast image intensifier
fasting
fasting catabolism
Fasting of the Mind and Sitting in Oblivion
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