Real-Time Evolution of Neural Networks in the NERO Video Game

Abstract

A major goal for AI is to allow users to interact with agents that learn in real time, making new kinds of interactive simulations, training applications, and digital entertainment possible. This paper describes such a learning technology, called real-time NeuroEvolution of Augmenting Topologies (rtNEAT), and describes how rtNEAT was used to build the… (More)

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Cite this paper

@inproceedings{Stanley2006RealTimeEO, title={Real-Time Evolution of Neural Networks in the NERO Video Game}, author={Kenneth O. Stanley and Bobby D. Bryant and Igor Karpov and Risto Miikkulainen}, booktitle={AAAI}, year={2006} }