Evolving Robocode Tank Fighters
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @TechReport{Eisenstein:2003-023,
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author = "Jacob Eisenstein",
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title = "Evolving Robocode Tank Fighters",
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institution = "Computer Science and Artificial Intelligence
Laboratory, MIT",
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year = "2003",
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type = "AI Memo",
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number = "2003-023",
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address = "Cambridge, MA 02139, USA",
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month = "28 " # oct,
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keywords = "genetic algorithms, genetic programming",
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URL = "ftp://publications.ai.mit.edu/ai-publications/2003/AIM-2003-023.pdf",
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URL = "ftp://publications.ai.mit.edu/ai-publications/2003/AIM-2003-023.ps",
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abstract = "In this paper, I describe the application of genetic
programming to evolve a controller for a robotic tank
in a simulated environment. The purpose is to explore
how genetic techniques can best be applied to produce
controllers based on subsumption and behavior oriented
languages such as REX. As part of my implementation, I
developed TableRex, a modification of REX that can be
expressed on a fixed-length genome. Using a fixed
subsumption architecture of TableRex modules, I evolved
robots that beat some of the most competitive
hand-coded adversaries.",
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size = "24 pages",
- }
Genetic Programming entries for
Jacob Eisenstein
Citations