Knowledge Transfer from Keepaway Soccer to Half-field Offense through Program Symbiosis: Building Simple Programs for a Complex Task

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Stephen Kelly and Malcolm I. Heywood",
  title =        "Knowledge Transfer from Keepaway Soccer to Half-field
                 Offense through Program Symbiosis: Building Simple
                 Programs for a Complex Task",
  booktitle =    "GECCO '15: Proceedings of the 2015 Annual Conference
                 on Genetic and Evolutionary Computation",
  year =         "2015",
  editor =       "Sara Silva and Anna I Esparcia-Alcazar and 
                 Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and 
                 Christine Zarges and Luis Correia and Terence Soule and 
                 Mario Giacobini and Ryan Urbanowicz and 
                 Youhei Akimoto and Tobias Glasmachers and 
                 Francisco {Fernandez de Vega} and Amy Hoover and Pedro Larranaga and 
                 Marta Soto and Carlos Cotta and Francisco B. Pereira and 
                 Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and 
                 Heike Trautmann and Jean-Baptiste Mouret and 
                 Sebastian Risi and Ernesto Costa and Oliver Schuetze and 
                 Krzysztof Krawiec and Alberto Moraglio and 
                 Julian F. Miller and Pawel Widera and Stefano Cagnoni and 
                 JJ Merelo and Emma Hart and Leonardo Trujillo and 
                 Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and 
                 Carola Doerr",
  isbn13 =       "978-1-4503-3472-3",
  pages =        "1143--1150",
  keywords =     "genetic algorithms, genetic programming, Integrative
                 Genetic and Evolutionary Computation",
  month =        "11-15 " # jul,
  organisation = "SIGEVO",
  address =      "Madrid, Spain",
  URL =          "",
  DOI =          "doi:10.1145/2739480.2754798",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Half-field Offense (HFO) is a sub-task of Robocup 2D
                 Simulated Soccer. HFO is a challenging, multi-agent
                 machine learning problem in which a team of offense
                 players attempt to manoeuvre the ball past a defending
                 team and around the goalie in order to score. The
                 agent's sensors and actuators are noisy, making the
                 problem highly stochastic and partially observable.
                 These same real-world characteristics have made
                 Keepaway soccer, which represents one sub-task of HFO,
                 a popular testbed in the reinforcement learning and
                 task-transfer literature in particular. We demonstrate
                 how policies initially evolved for Keepaway can be
                 reused within a symbiotic framework for coevolving
                 policies in genetic programming (GP), with no
                 additional training or transfer function, in order to
                 improve learning in the HFO task. Moreover, the highly
                 modular policies discovered by GP are shown to be
                 significantly less complex than solutions based on
                 traditional value-function optimization while achieving
                 the same level of play in HFO.",
  notes =        "Also known as \cite{2754798} GECCO-2015 A joint
                 meeting of the twenty fourth international conference
                 on genetic algorithms (ICGA-2015) and the twentith
                 annual genetic programming conference (GP-2015)",

Genetic Programming entries for Stephen Kelly Malcolm Heywood