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  • Vivien Kraus's avatar
    Reduce the learning rate · 5522472e
    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.
    5522472e