Machine Learning, Program Synthesis, Deep Learning, Npi.
current X and the previous hidden state H as input, and produce Y and the new value of H as an output. NPI, in particular, uses LSTM cells to avoid the vanishing gradient problem. The input to the NPI’s LSTM at each timestamp is the observation of the environment (such as the full state of the grid