Integration of Genetic Programming and Reinforcement Learning for Real Robots

Created by W.Langdon from gp-bibliography.bib Revision:1.4020

  author =       "Shotaro Kamio and Hideyuki Mitsuhashi and 
                 Hitoshi Iba",
  title =        "Integration of Genetic Programming and Reinforcement
                 Learning for Real Robots",
  journal =      "IPSJ Transactions on Mathematical Modeling and
  year =         "2004",
  volume =       "45",
  number =       "2",
  pages =        "134--143",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1882-7780",
  URL =          "",
  size =         "10 pages",
  abstract =     "We propose an integrated technique of genetic
                 programming (GP) and reinforcement learning (RL) that
                 allows a real robot to execute real-time learning. Our
                 technique does not need a precise simulator because
                 learning is done with a real robot. Moreover, our
                 technique makes it possible to learn optimal actions in
                 real robots. We show the result of an experiment with a
                 real robot AIBO and represents the result which proves
                 proposed technique performs better than traditional
                 Q-learning method.",
  notes =        "Language: Japanese SIG2(TOM


Genetic Programming entries for Shotaro Kamio Hideyuki Mitsuhashi Hitoshi Iba