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Online evolution in unreal tournament 2004

Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, CIG2010 (2010) 249-256
DOI: 10.1109/ITW.2010.5593348
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Abstract

Traditional approaches to game AI often feature behaviour that is scripted and predictable. Previous attempts at adaptive AI have struggled to get agents to learn quickly enough. This paper aims to show adaptation using online evolution is feasible and that it can can be incorporated with minimal change to the existing AI. A new approach is presented for evolving game agents online using an Evolution Strategy. © 2010 IEEE.

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APA

Patrick, M. (2010). Online evolution in unreal tournament 2004. In Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, CIG2010 (pp. 249–256). https://doi.org/10.1109/ITW.2010.5593348

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