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Scale your neural network inputs. The raw observations are in range $[0,89]$, and neural networks will cope badly with that used as inputs. The ideal case for NN for each input feature is a gaussian distribution with mean 0, standard deviation 1. You don't need that to be perfect, though. A simple scale - divide each element by $30$ and subtract $1.5$ - will ...

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