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LEARNING OBSERVATION REPRESENTATIONS BY PREDICTING THE FUTURE IN LATENT SPACE

机译:预测未来空间中的未来的学习观察表示

摘要

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an encoder neural network that is configured to process an input observation to generate a latent representation of the input observation. In one aspect, a method includes: obtaining a sequence of observations; for each observation in the sequence of observations, processing the observation using the encoder neural network to generate a latent representation of the observation; for each of one or more given observations in the sequence of observations: generating a context latent representation of the given observation; and generating, from the context latent representation of the given observation, a respective estimate of the latent representations of one or more particular observations that are after the given observation in the sequence of observations.
机译:方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于训练编码器神经网络,该编码器神经网络被配置为处理输入观测值以生成输入观测值的潜在表示。在一个方面,一种方法包括:获得观察序列;以及对于观测序列中的每个观测,使用编码器神经网络处理观测以生成观测的潜在表示;对于观察序列中的一个或多个给定观察中的每一个:生成给定观察的上下文潜在表示;并根据给定观察的上下文潜在表示来生成一个或多个特定观察的潜在表示的相应估计,这些估计在观察序列中给定观察之后。

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