Evolving Robocode Tank Fighters

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Jacob Eisenstein",
  title =        "Evolving Robocode Tank Fighters",
  institution =  "Computer Science and Artificial Intelligence
                 Laboratory, MIT",
  year =         "2003",
  type =         "AI Memo",
  number =       "2003-023",
  address =      "Cambridge, MA 02139, USA",
  month =        "28 " # oct,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "ftp://publications.ai.mit.edu/ai-publications/2003/AIM-2003-023.pdf",
  URL =          "ftp://publications.ai.mit.edu/ai-publications/2003/AIM-2003-023.ps",
  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.",
  size =         "24 pages",

Genetic Programming entries for Jacob Eisenstein