Some independent research I conducted in testing what’s going on in the memory of the DNC when trained to learn a predictive model of the environment for Reinforcement Learning. Unfortunately, the experiments didn’t find anything strongly positive. The memory appears to be a black-box, at least when examined in this way. Read more at: http://blog.adeel.io/2019/03/10/differentiable-neural-computer-memory-testing-using-dsprites/

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Would love to hear the thoughts of the ML community.