• DocumentCode
    1626524
  • Title

    Develop simulation and trial test Q-Learning system for soccer robot system

  • Author

    Kiyoto, Takeshi ; Hoshino, Yukinobu

  • Author_Institution
    Kochi Univ. of Technol., Kami, Japan
  • fYear
    2009
  • Firstpage
    2067
  • Lastpage
    2071
  • Abstract
    Purpose of my research is to make an automatic control system for soccer robots by the reinforcement learning . We would like to use the radio controller soccer robots for our research. We have a program agent for trying to movement many times in the simple soccer problem. But this simulation takes very long time for learning by Q-learning . In this paper, we propose a small simulation field and try to reinforcement learning. Finally, we would like to control soccer robots by this result.
  • Keywords
    learning systems; mobile robots; multi-robot systems; Q-learning system; automatic control system; reinforcement learning; soccer robot system; Automatic control; Cameras; Control systems; Humans; Image processing; Machine learning; Robot control; Robot vision systems; Robotics and automation; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
  • Conference_Location
    Jeju Island
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-3596-8
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2009.5277237
  • Filename
    5277237