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Vivien Kraus authored
I often get times where all the predictions are set to 0. This is because in the beginning where there is a lot of exploration, the regression is simply based on the bid and whether we are the taker. So, most parts of the network are "discarded", which is to say the weights optimize so that the hidden neuron is never activated. However, at the end of the exploration, we need to exploit these neurons.
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