Following common practice, our models normalize the proprioceptive state inputs and action targets during policy training and inference. The statistics used for normalization are computed over the ...
Abstract: Batch normalization (BN) is a fundamental unit in modern deep neural networks. However, BN and its variants focus on normalization statistics but neglect the recovery step that uses linear ...
Abstract: Batch Normalization (BatchNorm) is an effective architectural component in deep learning models that helps to improve model performance and speed up training. However, it has also been found ...
Post batch normalization statistics (PBN) is the CNTK version of how to evaluate the population mean and variance of Batch Normalization which could be used in ...
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