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+rtES-HyperNeat (Real Time Evolving Substrate Hypercube based Neuro-Evolution of
+Augmenting Topologies) is a real time neuro-evolution algorithm based on the
+papers written by Kenneth Stanley and other researchers at the EPLEX group
+([http://eplex.cs.ucf.edu/](http://eplex.cs.ucf.edu/)). More specifically,
+rtES-HyperNeat tries to blend the existing ES-HyperNeat
+([http://eplex.cs.ucf.edu/ESHyperNEAT/](http://eplex.cs.ucf.edu/ESHyperNEAT/))
+algorithm with rtNeat
+([http://nn.cs.utexas.edu/?rtNEAT](http://nn.cs.utexas.edu/?rtNEAT)), a previous
+version which allowed real time evolution of agents on a virtual field.
+
+The main problem with trying to make ES-HyperNeat real-timed was that the CPPNs
+(genotypes) had to be converted into functional Neural Networks (phenotypes) on
+a single time-step. This was proven to be impossible, so, as a solution, the
+library handles these transformations on separate execution threads. This way,
+the algorithm flows seamlessly.
+
+Although several implementations existed for HyperNeat, I've decided to code
+mine from scratch, based only on the original papers by EPLEX. My goal is to
+construct a simple, easy to use, well documented and tutorialized C++ library
+that will allow any user to evolve Neural Networks for any imaginable task. I
+also plan to apply this library to my Guppies experiment once its finished (see
+my channel for more info on Guppies).