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CodeReclaimers / neat-python

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colgreen / sharpneat

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Any tutorial?

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Jenscaasen
Jenscaasen commented Aug 8, 2018

Hi,
sorry for opening an issue for this, but i dont know how else to contact you.
Is there any documentation on how to actually implement SharpNeat? There is a collection of examples somewhere in the internet using sharpneat, which i can not find again, and there is that 8 year old tutorial from someone using it for TicTacToe, but which is incompatible to the current Nuget release. Outside of th

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dcmocanu / sparse-evolutionary-artificial-neural-networks

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Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

deep-neural-networks sparsity deep-learning scalability randomization neuroevolution deep-learning-algorithms classification evolutionary-algorithms artificial-neural-networks restricted-boltzmann-machine complex-networks deep-learning-papers multi-layer-perceptron generative-models sparse-neural-networks scalable-deep-learning sparse-training sparse-evolutionary-training adaptive-sparse-connectivity
  • Updated May 19, 2020
  • Python

crisbodnar / TensorFlow-NEAT

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AssertionError: assert len(leaf_names) == len(genome_config.input_keys)

SilverDash
SilverDash commented Mar 13, 2020

So I took the example (adaptive) And tried my hand at setting it up for NES games. (I set it up for mario first)

But I get this error. I have a feeling it's related to those inputs and outputs at the top of the python file.

The input coordinates and the output coordinates. I didn't really understand them so I don't know how to set it up for NES (if that's even the issue at all)

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