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

  • Authors:

  • Gary Parker;Sarah Penrose

  • Affiliations:

  • Department of Computer Science, Connecticut College, New London, CT, USA;Department of Computer Science, Connecticut College, New London, CT, USA

  • Venue:
  • International Journal of Organizational and Collective Intelligence
  • Year:
  • 2012

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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.