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aogmaneo's Issues

Explanation size of weights array Encoder

Dear AOgmaNeo team,

I'm going through the code in an attempt to understand how SPH is working and during that I saw the size of the weight's matrix/array is set to $\text{number of hidden cells} \times area \times \text{number of cells in column}$, (my translation of encoder.cppL245). I don't understand why the multiplication with the number of cells in a column is required.

code questions

Here, t is never history_size, and t2 starts at t-1. As a result, history_samples[history_size-1] is never touched here. Is this intentional?

int t = rand() % (history_size - params.min_steps) + params.min_steps;
// compute (partial) values, rest is completed in the kernel
float r = 0.0f;
float d = 1.0f;
for (int t2 = t - 1; t2 >= 0; t2--) {
r += history_samples[t2].reward * d;
d *= params.discount;
}

code does not run

Hello Eric,

I made a small program with AOgmaNeo. However, it doesn't work for same reason. The code was imitated from this cartpole python example.

How to reproduce

  • git clone https://github.com/iacore/AOgmaNeo --branch master
  • cmake -B build && cmake --build build
  • build/test1

the program should crash at hierarchy.cpp:214

layer_input_cis[index] = histories[l][i][t];

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