Reinforced Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{downing:2001:GPEM,
  author =       "Keith L. Downing",
  title =        "Reinforced Genetic Programming",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2001",
  volume =       "2",
  number =       "3",
  pages =        "259--288",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming, reinforcement
                 learning, the Baldwin Effect, Lamarckism",
  ISSN =         "1389-2576",
  URL =          "http://www.idi.ntnu.no/grupper/ai/eval/reinforcedGP/gpem.pdf",
  URL =          "http://www.idi.ntnu.no/grupper/ai/eval/reinforcedGP/",
  DOI =          "doi:10.1023/A:1011953410319",
  size =         "27 pages",
  abstract =     "This paper introduces the Reinforced Genetic
                 Programming (RGP) system, which enhances standard
                 tree-based genetic programming (GP) with reinforcement
                 learning (RL). RGP adds a new element to the GP
                 function set: monitored action-selection points that
                 provide hooks to a reinforcement-learning system. Using
                 strong typing, RGP can restrict these choice points to
                 leaf nodes, thereby turning GP trees into
                 classify-and-act procedures. Then, environmental
                 reinforcements channeled back through the choice points
                 provide the basis for both lifetime learning and
                 general GP fitness assessment. This paves the way for
                 evolutionary acceleration via both Baldwinian and
                 Lamarckian mechanisms. In addition, the hybrid hints of
                 potential improvements to RL by exploiting evolution to
                 design proper abstraction spaces, via the problem-state
                 classifications of the internal tree nodes. This paper
                 details the basic mechanisms of RGP and demonstrates
                 its application on a series of static and dynamic
                 maze-search problems.",
  notes =        "Article ID: 357595",
}

Genetic Programming entries for Keith L Downing

Citations