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A Python implementation of the "CoSyne" algorithim, as described in this paper: https://pdfs.semanticscholar.org/966e/41903b4aff42601a188bd7b26d71ef120d11.pdf

Python-Cooperative-Synapse-NeuroEvolution

An Implementation of this paper: Accelerated Neural Evolution through Cooperatively Coevolved Synapses

"Hey look, a reproducable paper!"

"Look ma, no gradients!"

An implementation of a simple 3 layer ANN, which evolves it's weights using a Cooperative Coevolutionary method.

Implemented with Numpy (and soon, PyTorch!)

This algorithim was originally developed for Reinforcement learning. I wrote this on a hunch that this is still the State of the Art for fixed architecture networks. but my main priority is getting it put onto the GPU - a considerably tougher task than anticipated.

If a GPU implementation isn't possible, than I will implement it in Numba and then attempt to use it to solve simple reinforcement learning problems... maybe flappybird?