On Diversity, Teaming, and Hierarchical Policies: Observations from the Keepaway Soccer Task

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{kelly:2014:EuroGP,
  author =       "Stephen Kelly and Malcolm I. Heywood",
  title =        "On Diversity, Teaming, and Hierarchical Policies:
                 Observations from the Keepaway Soccer Task",
  booktitle =    "17th European Conference on Genetic Programming",
  year =         "2014",
  editor =       "Miguel Nicolau and Krzysztof Krawiec and 
                 Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and 
                 Juan J. Merelo and Victor M. {Rivas Santos} and 
                 Kevin Sim",
  series =       "LNCS",
  volume =       "8599",
  publisher =    "Springer",
  pages =        "75--86",
  address =      "Granada, Spain",
  month =        "23-25 " # apr,
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-662-44302-6",
  DOI =          "doi:10.1007/978-3-662-44303-3_7",
  abstract =     "The 3-versus-2 Keepaway soccer task represents a
                 widely used benchmark appropriate for evaluating
                 approaches to reinforcement learning, multi-agent
                 systems, and evolutionary robotics. To date most
                 research on this task has been described in terms of
                 developments to reinforcement learning with function
                 approximation or frameworks for neuro-evolution. This
                 work performs an initial study using a recently
                 proposed algorithm for evolving teams of programs
                 hierarchically using two phases of evolution: one to
                 build a library of candidate meta policies and a second
                 to learn how to deploy the library consistently.
                 Particular attention is paid to diversity maintenance,
                 where this has been demonstrated as a critical
                 component in neuro-evolutionary approaches. A new
                 formulation is proposed for fitness sharing appropriate
                 to the Keepaway task. The resulting policies are
                 observed to benefit from the use of diversity and
                 perform significantly better than previously reported.
                 Moreover, champion individuals evolved and selected
                 under one field size generalise to multiple field sizes
                 without any additional training.",
  notes =        "Part of \cite{Nicolau:2014:GP} EuroGP'2014 held in
                 conjunction with EvoCOP2014, EvoBIO2014, EvoMusArt2014
                 and EvoApplications2014",
}

Genetic Programming entries for Stephen Kelly Malcolm Heywood

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