r-stefano/grid-cells

Implementation of Vector Based Navigation using Grid-like cells using Tensorflow and Numpy

grid-cells's Issues

Initial states

Hi Stefano,

Good job with the code.
I think the reason you're not getting the Grid cells is that you don't feed the previous state of your last batch of data to your LSTM network. You mention in agent.py line 49 that you want to do this if time step is not zero, but I don't see any implementations of this.

#If is going to be timestep=0, initialize the hidden and cell state using the Ground Truth Distributions. #Otherwise, use the hidden state and cell state from the previous timestep passed using the placeholders

I'm guessing this would make all your data to be seen like sequences of length 100, which is a great misuse of data.
If I'm mistaking, please let me know, or ignore this issue.

Good luck.