The Simple Soccer Machine Learning Environment

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

  author =       "Jeff Riley",
  title =        "The Simple Soccer Machine Learning Environment",
  booktitle =    "Proceedings of The First Asian-Pacific Workshop on
                 Genetic Programming",
  year =         "2003",
  editor =       "Sung-Bae Cho and Nguyen Xuan Hoai and Yin Shan",
  pages =        "24--30",
  address =      "Rydges (lakeside) Hotel, Canberra, Australia",
  month =        "8 " # dec,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-9751724-0-9",
  URL =          "",
  size =         "6 pages",
  abstract =     "The RoboCup simulated soccer league is a dynamic,
                 complex and uncertain environment which presents many
                 challenges to machine learning techniques. The
                 asynchronous design of the RoboCup simulation
                 environment can create long and unpredictable delays in
                 the effects of actions, often causing onerous training
                 times. A new environment known as Simple Soccer is
                 proposed which, while retaining much of the dynamics
                 and complexity of RoboCup, provides more certainty and
                 less delay, thus increasing the viability of machine
                 learning techniques. The goal of this work is to create
                 an environment complex and dynamic enough that while
                 low-level tactics may differ due to the removal of
                 systematic uncertainty, high-level strategies directly
                 applicable to the RoboCup environment can be developed.
                 This paper specifies the Simple Soccer environment, and
                 presents some initial learning results.",
  notes =        "\cite{aspgp03}",

Genetic Programming entries for Jeff Riley