StarCraft NeuroEvolution Unit AI
evolving the past, one generation at a time
NeuroEvolution, or better yet Real Time NeuroEvolution of Augmenting Topologies(rtNEAT) uses generic algorithms and selective breeding to both train and shape neural networks into their optimal configuration. The original C++ rtNEAT algorithm was developed at the University of Texas, at Austin by Dr. Kenneth Stanley.
My experiment in rtNEAT ported the C++ centered algorithm into a Java implementation and implemented both C++ and Java algorithms into StarCraft for performance and feasibility testing.

The 2010 AI and Interactive Digital Entertainment Conference hosted an AI StarCraft competition which pitted various StarCraft bots against one another in numerous setups. I used the Tier 1 tournament maps against the built in StarCraft computer to both train and test rtNEAT.

the Documentation
Because documentation comes first!

the Tech/Hacks
Libraries
» Java rtNEAT – Java Real Time NeuroEvolution of Augmenting Topologies
Utilities
» Resolution Hack Loader by hellinsect
» W-MODE
