Evolutionary Construction of a Simulator for Real Robots

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  title =        "Evolutionary Construction of a Simulator for Real
  author =       "Shotaro Kamio and Hitoshi Iba",
  pages =        "2202--2209",
  booktitle =    "Proceedings of the 2004 IEEE Congress on Evolutionary
  year =         "2004",
  publisher =    "IEEE Press",
  month =        "20-23 " # jun,
  address =      "Portland, Oregon",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 intelligent agents",
  URL =          "http://www.iba.k.u-tokyo.ac.jp/papers/2004/kamioCEC2004.pdf",
  DOI =          "doi:10.1109/CEC.2004.1331170",
  abstract =     "In order to acquire useful motions of a real-world
                 robot, it is necessary to carry out learning in a real
                 environment. However, learning is difficult within a
                 real environment. In addition, the acceleration of
                 learning is required for a practical execution. In this
                 paper, we propose an approach to the learning
                 acceleration using data retrieved from the real
                 environment. This consists of the method of
                 automatically constructing the simulator from real data
                 and of learning a robot controller with the simulator.
                 The experimental results suggest that our GP-based
                 technique enables the effective controller learning.",
  notes =        "CEC 2004 - A joint meeting of the IEEE, the EPS, and
                 the IEE.",

Genetic Programming entries for Shotaro Kamio Hitoshi Iba