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Learning Control for an Xpilot-AI Agent Playing Capture the Flag

Learning Control for an Xpilot-AI Agent Playing Capture the Flag

Gary Parker, Sarah Penrose
Copyright: © 2012 |Volume: 3 |Issue: 1 |Pages: 12
ISSN: 1947-9344|EISSN: 1947-9352|EISBN13: 9781466613850|DOI: 10.4018/joci.2012010101
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MLA

Parker, Gary, and Sarah Penrose. "Learning Control for an Xpilot-AI Agent Playing Capture the Flag." IJOCI vol.3, no.1 2012: pp.1-12. http://doi.org/10.4018/joci.2012010101

APA

Parker, G. & Penrose, S. (2012). Learning Control for an Xpilot-AI Agent Playing Capture the Flag. International Journal of Organizational and Collective Intelligence (IJOCI), 3(1), 1-12. http://doi.org/10.4018/joci.2012010101

Chicago

Parker, Gary, and Sarah Penrose. "Learning Control for an Xpilot-AI Agent Playing Capture the Flag," International Journal of Organizational and Collective Intelligence (IJOCI) 3, no.1: 1-12. http://doi.org/10.4018/joci.2012010101

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Abstract

Xpilot-AI is an environment where researchers can test autonomous agent control and learning programs. It is based on Xpilot, which is an open source, 2d space combat game. Xpilot-AI allows a programmer to write scripts that control an agent playing a game of Xpilot. In previous work, a wide range of techniques have been used to develop controllers that are focused on the combat skills for an Xpilot agent. In this research, a Genetic Algorithm (GA) was used to evolve the parameters for an expert agent solving the more challenging problem of capture the flag.

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