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dsae-torch

Deep Spatial Autoencoders in PyTorch

Original paper: "Deep Spatial Autoencoders for Visuomotor Learning"

Chelsea Finn, Xin Yu Tan, Yan Duan, Trevor Darrell, Sergey Levine, Pieter Abbeel

Available at: https://arxiv.org/pdf/1509.06113.pdf

dsae.py implements the spatial soft-argmax operation, as well as the autoencoder encoder and decoder networks from the original paper. Moreover, we implement the gslow loss contribution as presented in the paper.

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Deep Spatial Autoencoders in PyTorch

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